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SilviaC7 authored on 13/07/2021 17:19:09 • GitHub committed on 13/07/2021 17:19:09
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@@ -179,7 +179,7 @@ pre code {
179 179
 <pre><code>## GMQL successfully loaded</code></pre>
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 <pre class="r"><code>remote_url &lt;- &quot;http://www.gmql.eu/gmql-rest&quot;
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 init_gmql( url = remote_url, remote_processing = TRUE) # , username = &#39;XXXX&#39;, password = &#39;XXXX&#39;)</code></pre>
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-<pre><code>## [1] &quot;your Token is 2d626986-6047-4002-97a5-901b3ab9bd42&quot;</code></pre>
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+<pre><code>## [1] &quot;your Token is 845c2135-81b5-422c-a55b-9f145c9d3466&quot;</code></pre>
183 183
 <p>Download and extract the list of datasets in the curated remote repository and focus on those concerning mutation events:</p>
184 184
 <pre class="r"><code>dataset_list &lt;- show_datasets_list(remote_url)
185 185
 list &lt;- unlist(lapply(dataset_list[[&quot;datasets&quot;]], function(x) x$name))
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@@ -16,8 +16,7 @@ output:
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   chunk_output_type: inline
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 ---
18 18
 
19
-
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-In this example we investigate the TCGA messenger and micro RNA gene expression data of patients affected by Adrenal Adenocarcinoma, showing how to to merge and process local data (even possibly private) with remote public data in mixed processing, performing analyses both remotely and on the local R/Bioconductor environment.
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+In this example we investigate the TCGA messenger and micro RNA gene expression data of patients affected by Adrenocortical carcinoma, showing how to to merge and process local data (even possibly private) with remote public data in mixed processing, performing analyses both remotely and on the local R/Bioconductor environment.
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22 21
 Load the RGMQL package and initialize the remote GMQL context of scalable data management engine, specifying remote_processing = TRUE, and, possibly, an authenticated login:
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@@ -27,11 +26,11 @@ remote_url <- "http://www.gmql.eu/gmql-rest"
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 init_gmql( url = remote_url, remote_processing = TRUE) # , username = 'XXXX', password = 'XXXX')
28 27
 ```
29 28
 
30
-Read the TCGA miRNA gene expression data of adrenal adenocarcinoma aligned to GRCh38 from a local GDM dataset:
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+Read the TCGA miRNA gene expression data of Adrenocortical carcinoma aligned to GRCh38 from a local GDM dataset:
31 30
 
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-```{r, GRCh38_TCGA_miRNA_ACC}
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-GRCh38_miRNA_path <- 'GRCh38_TCGA_miRNA_ACC'
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-GRCh38_TCGA_miRNA_ACC <- read_gmql(GRCh38_miRNA_path, is_local = TRUE)
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+```{r, GRCh38_miRNA_ACC}
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+GRCh38_miRNA_path <- 'GRCh38_miRNA_ACC'
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+GRCh38_miRNA_ACC <- read_gmql(GRCh38_miRNA_path, is_local = TRUE)
35 34
 ```
36 35
 
37 36
 Download and extract the list of datasets in the curated remote repository and focus on those concerning TCGA:
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@@ -43,7 +42,7 @@ list <- unlist(lapply(dataset_list[["datasets"]], function(x) x$name))
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 grep(pattern = 'TCGA', x = list, value = TRUE)
44 43
 ```
45 44
 
46
-Choose the latest TCGA gene expression dataset of interest, aligned to GRCh38, read it and extract all the samples of patients affected by adrenal adenocarcinoma (ACC) :
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+Choose the latest TCGA gene expression dataset of interest, aligned to GRCh38, read it and extract all the samples of patients affected by Adrenocortical carcinoma (ACC) :
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48 47
 ```{r, GRCh38_TCGA_RNAseq_ACC}
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 GRCh38_TCGA_RNAseq <- read_gmql(dataset = "public.GRCh38_TCGA_gene_expression_2019_10", is_local = FALSE)
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@@ -54,7 +53,7 @@ GRCh38_TCGA_RNAseq_ACC <- filter(GRCh38_TCGA_RNAseq, gdc__project__project_id ==
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 Join the two datasets based on the *biospecimen_aliquot\_\_bcr_aliquot_barcode* and keeping for each miRNA region the first gene region at minimum distance ((MD(1)):
55 54
 
56 55
 ```{r, join}
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-ACC_mRNA_miRNA <- merge(GRCh38_TCGA_miRNA_ACC,
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+ACC_mRNA_miRNA <- merge(GRCh38_miRNA_ACC,
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                   GRCh38_TCGA_RNAseq_ACC,    
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                   genometric_predicate = list(MD(1)),
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                   region_output = "BOTH",
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@@ -85,6 +84,7 @@ download_dataset(remote_url, name_dataset, path = './Results_use_case_2')
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 ```
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 Import mRNA and microRNA gene annotations together with their corresponding raw count values from the dataset just saved in the local File System to the current R environment, within a GRanges object:
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+
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 ```{r, echo=FALSE}
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 name_dataset <- '_20210609_081618_ACC_mRNA_miRNA'
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 ```
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@@ -92,7 +92,7 @@ name_dataset <- '_20210609_081618_ACC_mRNA_miRNA'
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 ```{r, GRanges}
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 remote_processing(FALSE)
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 path <- paste('./Results_use_case_2', name_dataset, sep = '/')
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-GR_TCGA_ACC <- filter_and_extract(path, metadata = NULL, region_attributes = c('right.gene_symbol','right.htseq_count','left.mirna_id','left.read_count'))
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+GR_ACC <- filter_and_extract(path, metadata = NULL, region_attributes = c('right.gene_symbol','right.htseq_count','left.mirna_id','left.read_count'))
96 96
 ```
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98 98
 Show all metadata to extract sample IDs and clinical annotations:
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@@ -115,20 +115,20 @@ logout_gmql(remote_url)
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 Extract different samples as rows, considering as features an ordered joint list of raw counts for each mRNA and miRNA gene under analysis
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117 117
 ```{r, rawData}
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-all_genes <- c(GR_TCGA_ACC@elementMetadata@listData[['right.gene_symbol...1']],GR_TCGA_ACC@elementMetadata@listData[['left.mirna_id...3']])
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+all_genes <- c(GR_ACC@elementMetadata@listData[['right.gene_symbol...1']],GR_ACC@elementMetadata@listData[['left.mirna_id...3']])
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 all_genes_ord <- unique(sort(all_genes))
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 columns <- length(all_genes_ord)
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 rawMatrix <- matrix(nrow = 0, ncol = columns)
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-for (i in seq(1, length(GR_TCGA_ACC@elementMetadata@listData), 4)) {
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+for (i in seq(1, length(GR_ACC@elementMetadata@listData), 4)) {
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   g <- paste('right.gene_symbol...', toString(i), sep = '')
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   m <- paste('left.mirna_id...', toString(i+2), sep = '')
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   gr <- paste('right.htseq_count...', toString(i+1), sep = '')
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   mr <- paste('left.read_count...', toString(i+3), sep = '')
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-  all_genes <- c(GR_TCGA_ACC@elementMetadata@listData[[g]]
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-               ,GR_TCGA_ACC@elementMetadata@listData[[m]])
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-  all_reads <- as.numeric(c(GR_TCGA_ACC@elementMetadata@listData[[gr]],                      GR_TCGA_ACC@elementMetadata@listData[[mr]]))
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+  all_genes <- c(GR_ACC@elementMetadata@listData[[g]]
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+               ,GR_ACC@elementMetadata@listData[[m]])
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+  all_reads <- as.numeric(c(GR_ACC@elementMetadata@listData[[gr]],                      GR_ACC@elementMetadata@listData[[mr]]))
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   names(all_reads) <- all_genes
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   all_reads_ord <- all_reads[c(all_genes_ord)]
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   rawMatrix <- rbind(rawMatrix, all_reads_ord)
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@@ -149,11 +149,11 @@ library(BBmisc)
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 dataset_n <- normalize(dataset, 'standardize')
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 ```
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-Use the remaining genes as features of each sample to perform a clustering analysis and identify subgroups of samples through hierarchical clustering.
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+Use the remaining genes as features of each sample to perform a clustering analysis and identify subgroups of samples through hierarchical clustering. First, identify the optimal number of clusters based on the average silhouette score:
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 ```{r, silhouette}
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 library(factoextra)
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-library(cluster)
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+#library(cluster)
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 #Choice of the number of clusters
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 res <- fviz_nbclust(dataset_n, hcut , method = "silhouette", k.max = 10) 
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@@ -178,15 +178,16 @@ Plot the so-obtained clusters:
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 fviz_cluster(list(data = dataset_n, cluster = clusters),labelsize = 6)
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 ```
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-Now compare by a left join the clusters obtained with this clustering analysis and the consensus clustering results published by the TCGA consortium in their Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma :
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+Now compare by a left join the clusters obtained with this clustering analysis and the clustering results published by the TCGA consortium in their Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma:
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 ```{r}
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 clustering_results <- data.frame('sample' = sample_IDs , 'cluster' = clusters)
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 rownames(clustering_results)<- NULL
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+
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 library(readr)
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-CONSENSUS_CLUSTERS_TCGA_ACC <- read_delim("Results_use_case_2/CONSENSUS_CLUSTERS_TCGA_ACC.csv", ";", escape_double = FALSE, trim_ws = TRUE)
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+ CLUSTERS_TCGA_ACC <- read_delim("Results_use_case_2/CLUSTERS_TCGA_ACC.csv", ";", escape_double = FALSE, trim_ws = TRUE)
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-comparison<-merge(x = clustering_results, y = CONSENSUS_CLUSTERS_TCGA_ACC,  by = 'sample', all.x = TRUE)
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+comparison<-merge(x = clustering_results, y =  CLUSTERS_TCGA_ACC,  by = 'sample', all.x = TRUE)
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 library('xlsx')
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 write.xlsx(comparison, file='Results_use_case_2/Comparison_clusterings.xlsx', col.names = TRUE, row.names = FALSE, append = FALSE)
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@@ -203,9 +204,44 @@ for(i in 3:dim(comparison)[2]){
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            las = 1)
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 }
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+```
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+
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+Similarly we compare the clusters obtained with this clustering analysis and the available TCGA survival annotations:
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+
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+```{r}
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+clustering_results <- data.frame('sample' = sample_IDs , 'cluster' = clusters)
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+rownames(clustering_results)<- NULL
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+
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+library(readr)
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+SURVIVAL_TCGA_ACC <- read_delim("Results_use_case_2/SURVIVAL_TCGA_ACC.csv", ";", escape_double = FALSE, trim_ws = TRUE)
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+
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+comparison_s<-merge(x = clustering_results, y =  SURVIVAL_TCGA_ACC,  by = 'sample', all.x = TRUE)
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+
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+library('xlsx')
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+# write.xlsx(comparison_s, file='Results_use_case_2/Comparison_clustering_survival.xlsx', col.names = TRUE, row.names = FALSE, append = FALSE)
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+
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+  comparison_table <- table(comparison_s$cluster, comparison_s$OS_STATUS)
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+  subt<-'comparison with overall survival status annotations'
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+
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+  mosaicplot(comparison_table, color = TRUE, main = 'Mosaic plot of two alternative patient stratifications',
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+           sub = subt,
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+           xlab = 'Hierachical Clustering results on mRNA and miRNA genes:',
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+           ylab = 'Overall survival status',
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+           las = 1)
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+  
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+    comparison_table2 <- table(comparison_s$cluster, comparison_s$DFS_STATUS)
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+  subt<-'comparison with disease-free survival status annotations'
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+
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+  mosaicplot(comparison_table2, color = TRUE, main = 'Mosaic plot of two alternative patient stratifications',
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+           sub = subt,
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+           xlab = 'Hierachical Clustering results on mRNA and miRNA genes:',
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+           ylab = 'Disease-free survival status',
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+           las = 1)
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207 241
 ```
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+Eventually,
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+
209 245
 Eventually, evaluate how clinical annotations, like status and stages, are distributed within the clusters obtained with this clustering analysis:
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 ```{r}
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@@ -172,17 +172,17 @@ pre code {
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 </div>
173 173
 
174 174
 
175
-<p>In this example we investigate the TCGA messenger and micro RNA gene expression data of patients affected by Adrenal Adenocarcinoma, showing how to to merge and process local data (even possibly private) with remote public data in mixed processing, performing analyses both remotely and on the local R/Bioconductor environment.</p>
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+<p>In this example we investigate the TCGA messenger and micro RNA gene expression data of patients affected by Adrenocortical carcinoma, showing how to to merge and process local data (even possibly private) with remote public data in mixed processing, performing analyses both remotely and on the local R/Bioconductor environment.</p>
176 176
 <p>Load the RGMQL package and initialize the remote GMQL context of scalable data management engine, specifying remote_processing = TRUE, and, possibly, an authenticated login:</p>
177 177
 <pre class="r"><code>library(RGMQL)</code></pre>
178 178
 <pre><code>## Caricamento del pacchetto richiesto: RGMQLlib</code></pre>
179 179
 <pre><code>## GMQL successfully loaded</code></pre>
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 <pre class="r"><code>remote_url &lt;- &quot;http://www.gmql.eu/gmql-rest&quot;
181 181
 init_gmql( url = remote_url, remote_processing = TRUE) # , username = &#39;XXXX&#39;, password = &#39;XXXX&#39;)</code></pre>
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-<pre><code>## [1] &quot;your Token is 2a8e38da-e52d-4b03-94d5-6a062d2036be&quot;</code></pre>
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-<p>Read the TCGA miRNA gene expression data of adrenal adenocarcinoma aligned to GRCh38 from a local GDM dataset:</p>
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-<pre class="r"><code>GRCh38_miRNA_path &lt;- &#39;GRCh38_TCGA_miRNA_ACC&#39;
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-GRCh38_TCGA_miRNA_ACC &lt;- read_gmql(GRCh38_miRNA_path, is_local = TRUE)</code></pre>
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+<pre><code>## [1] &quot;your Token is 30d972ed-c75e-4093-99cc-f4f7ab804df2&quot;</code></pre>
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+<p>Read the TCGA miRNA gene expression data of Adrenocortical carcinoma aligned to GRCh38 from a local GDM dataset:</p>
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+<pre class="r"><code>GRCh38_miRNA_path &lt;- &#39;GRCh38_miRNA_ACC&#39;
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+GRCh38_miRNA_ACC &lt;- read_gmql(GRCh38_miRNA_path, is_local = TRUE)</code></pre>
186 186
 <p>Download and extract the list of datasets in the curated remote repository and focus on those concerning TCGA:</p>
187 187
 <pre class="r"><code>remote_processing(TRUE)</code></pre>
188 188
 <pre><code>## [1] &quot;Remote processing On&quot;</code></pre>
... ...
@@ -222,12 +222,12 @@ grep(pattern = &#39;TCGA&#39;, x = list, value = TRUE)</code></pre>
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 ## [31] &quot;HG19_TCGA_rnaseqv2_gene&quot;                     
223 223
 ## [32] &quot;HG19_TCGA_rnaseqv2_isoform&quot;                  
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 ## [33] &quot;HG19_TCGA_rnaseqv2_spljxn&quot;</code></pre>
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-<p>Choose the latest TCGA gene expression dataset of interest, aligned to GRCh38, read it and extract all the samples of patients affected by adrenal adenocarcinoma (ACC) :</p>
225
+<p>Choose the latest TCGA gene expression dataset of interest, aligned to GRCh38, read it and extract all the samples of patients affected by Adrenocortical carcinoma (ACC) :</p>
226 226
 <pre class="r"><code>GRCh38_TCGA_RNAseq &lt;- read_gmql(dataset = &quot;public.GRCh38_TCGA_gene_expression_2019_10&quot;, is_local = FALSE)
227 227
 
228 228
 GRCh38_TCGA_RNAseq_ACC &lt;- filter(GRCh38_TCGA_RNAseq, gdc__project__project_id == &quot;TCGA-ACC&quot;)</code></pre>
229 229
 <p>Join the two datasets based on the <em>biospecimen_aliquot__bcr_aliquot_barcode</em> and keeping for each miRNA region the first gene region at minimum distance ((MD(1)):</p>
230
-<pre class="r"><code>ACC_mRNA_miRNA &lt;- merge(GRCh38_TCGA_miRNA_ACC,
230
+<pre class="r"><code>ACC_mRNA_miRNA &lt;- merge(GRCh38_miRNA_ACC,
231 231
                   GRCh38_TCGA_RNAseq_ACC,    
232 232
                   genometric_predicate = list(MD(1)),
233 233
                   region_output = &quot;BOTH&quot;,
... ...
@@ -245,7 +245,7 @@ download_dataset(remote_url, name_dataset, path = &#39;./Results_use_case_2&#39;
245 245
 <pre class="r"><code>remote_processing(FALSE)</code></pre>
246 246
 <pre><code>## [1] &quot;Remote processing off&quot;</code></pre>
247 247
 <pre class="r"><code>path &lt;- paste(&#39;./Results_use_case_2&#39;, name_dataset, sep = &#39;/&#39;)
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-GR_TCGA_ACC &lt;- filter_and_extract(path, metadata = NULL, region_attributes = c(&#39;right.gene_symbol&#39;,&#39;right.htseq_count&#39;,&#39;left.mirna_id&#39;,&#39;left.read_count&#39;))</code></pre>
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+GR_ACC &lt;- filter_and_extract(path, metadata = NULL, region_attributes = c(&#39;right.gene_symbol&#39;,&#39;right.htseq_count&#39;,&#39;left.mirna_id&#39;,&#39;left.read_count&#39;))</code></pre>
249 249
 <pre><code>## New names:
250 250
 ## * right.gene_symbol -&gt; right.gene_symbol...1
251 251
 ## * right.htseq_count -&gt; right.htseq_count...2
... ...
@@ -264,20 +264,20 @@ grades&lt;- unlist(meta_table[&#39;left.gdc__diagnoses__tumor_grade&#39;,])</cod
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 <pre class="r"><code>logout_gmql(remote_url)</code></pre>
265 265
 <pre><code>## [1] &quot;Logout&quot;</code></pre>
266 266
 <p>Extract different samples as rows, considering as features an ordered joint list of raw counts for each mRNA and miRNA gene under analysis</p>
267
-<pre class="r"><code>all_genes &lt;- c(GR_TCGA_ACC@elementMetadata@listData[[&#39;right.gene_symbol...1&#39;]],GR_TCGA_ACC@elementMetadata@listData[[&#39;left.mirna_id...3&#39;]])
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+<pre class="r"><code>all_genes &lt;- c(GR_ACC@elementMetadata@listData[[&#39;right.gene_symbol...1&#39;]],GR_ACC@elementMetadata@listData[[&#39;left.mirna_id...3&#39;]])
268 268
 all_genes_ord &lt;- unique(sort(all_genes))
269 269
 
270 270
 columns &lt;- length(all_genes_ord)
271 271
 rawMatrix &lt;- matrix(nrow = 0, ncol = columns)
272 272
 
273
-for (i in seq(1, length(GR_TCGA_ACC@elementMetadata@listData), 4)) {
273
+for (i in seq(1, length(GR_ACC@elementMetadata@listData), 4)) {
274 274
   g &lt;- paste(&#39;right.gene_symbol...&#39;, toString(i), sep = &#39;&#39;)
275 275
   m &lt;- paste(&#39;left.mirna_id...&#39;, toString(i+2), sep = &#39;&#39;)
276 276
   gr &lt;- paste(&#39;right.htseq_count...&#39;, toString(i+1), sep = &#39;&#39;)
277 277
   mr &lt;- paste(&#39;left.read_count...&#39;, toString(i+3), sep = &#39;&#39;)
278
-  all_genes &lt;- c(GR_TCGA_ACC@elementMetadata@listData[[g]]
279
-               ,GR_TCGA_ACC@elementMetadata@listData[[m]])
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-  all_reads &lt;- as.numeric(c(GR_TCGA_ACC@elementMetadata@listData[[gr]],                      GR_TCGA_ACC@elementMetadata@listData[[mr]]))
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+  all_genes &lt;- c(GR_ACC@elementMetadata@listData[[g]]
279
+               ,GR_ACC@elementMetadata@listData[[m]])
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+  all_reads &lt;- as.numeric(c(GR_ACC@elementMetadata@listData[[gr]],                      GR_ACC@elementMetadata@listData[[mr]]))
281 281
   names(all_reads) &lt;- all_genes
282 282
   all_reads_ord &lt;- all_reads[c(all_genes_ord)]
283 283
   rawMatrix &lt;- rbind(rawMatrix, all_reads_ord)
... ...
@@ -297,11 +297,11 @@ library(BBmisc)</code></pre>
297 297
 ## 
298 298
 ##     isFALSE</code></pre>
299 299
 <pre class="r"><code>dataset_n &lt;- normalize(dataset, &#39;standardize&#39;)</code></pre>
300
-<p>Use the remaining genes as features of each sample to perform a clustering analysis and identify subgroups of samples through hierarchical clustering.</p>
300
+<p>Use the remaining genes as features of each sample to perform a clustering analysis and identify subgroups of samples through hierarchical clustering. First, identify the optimal number of clusters based on the average silhouette score:</p>
301 301
 <pre class="r"><code>library(factoextra)</code></pre>
302 302
 <pre><code>## Caricamento del pacchetto richiesto: ggplot2</code></pre>
303 303
 <pre><code>## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa</code></pre>
304
-<pre class="r"><code>library(cluster)
304
+<pre class="r"><code>#library(cluster)
305 305
 
306 306
 #Choice of the number of clusters
307 307
 res &lt;- fviz_nbclust(dataset_n, hcut , method = &quot;silhouette&quot;, k.max = 10) 
... ...
@@ -319,11 +319,12 @@ rect.hclust(hclust_model, k = 3, border = 2:5)</code></pre>
319 319
 <p>Plot the so-obtained clusters:</p>
320 320
 <pre class="r"><code>fviz_cluster(list(data = dataset_n, cluster = clusters),labelsize = 6)</code></pre>
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 <p><img 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" width="672" /></p>
322
-<p>Now compare by a left join the clusters obtained with this clustering analysis and the consensus clustering results published by the TCGA consortium in their Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma :</p>
322
+<p>Now compare by a left join the clusters obtained with this clustering analysis and the clustering results published by the TCGA consortium in their Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma:</p>
323 323
 <pre class="r"><code>clustering_results &lt;- data.frame(&#39;sample&#39; = sample_IDs , &#39;cluster&#39; = clusters)
324 324
 rownames(clustering_results)&lt;- NULL
325
+
325 326
 library(readr)
326
-CONSENSUS_CLUSTERS_TCGA_ACC &lt;- read_delim(&quot;Results_use_case_2/CONSENSUS_CLUSTERS_TCGA_ACC.csv&quot;, &quot;;&quot;, escape_double = FALSE, trim_ws = TRUE)</code></pre>
327
+ CLUSTERS_TCGA_ACC &lt;- read_delim(&quot;Results_use_case_2/CLUSTERS_TCGA_ACC.csv&quot;, &quot;;&quot;, escape_double = FALSE, trim_ws = TRUE)</code></pre>
327 328
 <pre><code>## 
328 329
 ## -- Column specification --------------------------------------------------------
329 330
 ## cols(
... ...
@@ -334,7 +335,7 @@ CONSENSUS_CLUSTERS_TCGA_ACC &lt;- read_delim(&quot;Results_use_case_2/CONSENSUS_
334 335
 ##   miRNA = col_character(),
335 336
 ##   `Cluster of Clusters` = col_character()
336 337
 ## )</code></pre>
337
-<pre class="r"><code>comparison&lt;-merge(x = clustering_results, y = CONSENSUS_CLUSTERS_TCGA_ACC,  by = &#39;sample&#39;, all.x = TRUE)
338
+<pre class="r"><code>comparison&lt;-merge(x = clustering_results, y =  CLUSTERS_TCGA_ACC,  by = &#39;sample&#39;, all.x = TRUE)
338 339
 
339 340
 library(&#39;xlsx&#39;)
340 341
 write.xlsx(comparison, file=&#39;Results_use_case_2/Comparison_clusterings.xlsx&#39;, col.names = TRUE, row.names = FALSE, append = FALSE)
... ...
@@ -351,6 +352,45 @@ for(i in 3:dim(comparison)[2]){
351 352
            las = 1)
352 353
 }</code></pre>
353 354
 <p><img 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" 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" 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I7A2luVgF7rBrXCFQE6AgQoNrW8evLVt/XQKwJUCgE6AgQoNlUO5LJcbsQuEaAjQIBiY8W1z/yCYzFa86DGrweDAB0BAhQb04d1cgQvggAdAQIUm9PuJaD9iCBAR4AAhYPWE1HN0cXYBQJ0BAhQOLn5fT78cvLUNroYu0CAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaDYu/nRz75LODyf306T5NFL32Wst3yXFvr0g+8ydoQAxb5dJwTozt2fJ7lT34Wss7wqCr30XchuEKDYr+X3CQG6e7Pk2a/p36Zp8MG0SI4/ZI3gQNoAAYq9urtIji8OpPME5OH85Db7/zz0XdDl1eRN9v9Z8b/RI0CxV7PJi39cEaBS7qaBB2ipytHRI0CxV59u085DgEqZJ2e+Sxhi+Tb0PeWhCFDsGwEq5m46hlV7N02S3976rmI3CFDsGwEq5S78a0iZuydPkuTLw0hQAhT7RoAKuZ4mIxgHmlvODuQYngDFvhGgIpZvk8kY9j8LD+eH0QgIUOwbASpheZUNsByNQ2kEBCj27VD6TlDS/Hw2hrOK1Z7n3fRkDOWuRYBi3whQASMZv5TdMpXtKN9Mx1LvGgQo9o0A3b2H8lb4JAl9x666F/408DoHIkCxbwTo7i2SsQRo8TSmMTw2ahACFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkB9SxCBMW/1IJvsXvrmAMEUEivfDRH7MeatHmST3VsP7RdKHdFKkv+Og2cGqO+KhrMEqO+SLEX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUIaASpdlC+h1BGtEFojpBGg0kX5Ekod0QqhNUKaGaBjEmCTJUBRCKE1QhoBKrxCvQmljmiF0BohLZj+vgshNNlgVmgodUQrhNYIacH0910IockGs0JDqSNaIbRGSAumv+9CCE02mBUaSh3RCqE1Qlow/X0XQmiywazQUOqIVgitEdKC6e+7EEKTDWaFhlJHtEJojZAWTH/fhRCabDArNJQ6ohVCa4S0YPr7LoTQZINZoaHUEa0QWiOkBdPfdyGEJhvMCg2ljmiF0BohLZj+vgu+x/UXfK+FUih1RIsAjYHlbp7xMJtsCPbUP9cJpY5oEaAxOKhbOaFg5XhGgMbADND/PRoEaB9WjmcEaAwI0EPFyvGMAI0BAXqoWDmeEaAxIEAPFSvHMwI0BgTooWLleEaAxoAAPVSsHM8I0BgQoIeKleMZARoDAvRQsXI8I0BjcGAB6jTm3uVD4Y/uD6WOaBGgMTisAHWKNZcP9XwmlOAKpY5oEaAxOKwARYOV4xkBGgMC9FCxcjwjQGNAgB4qVo5nBGgMCNBDxcrxjACNAQF6qFg5nhGgMSBADxUrxzMCNAYE6KFi5XhGgMaAAD1UrBzPCNAYEKCHipXjGQEaAwL0ULFyPCNAY3BYAdp3h+W+7Kt/rhNMIbEiQGNwUAHqOzsLe+uh/UKpI1oEaAwOLED/n3cEKAoEaAwIUAIUIgjQGBCgBChEEKAxIEAJUIggQGNAgBKgEEGAxoAAJUAhggCNAQFKgEIEARoDApQAhQgCNAYEKAEKEQRoDAhQAhQiCNAYEKAEKEQQoDEgQAlQiCBAY0CAEqAQQYDGgAAlQCGCAI0BAUqAQgQBGgMClACFCAI0BgQoAQoRBGgMCFACFCII0BgQoAQoRBCgMSBACVCIIEBjQIASoBBBgMaAACVAIYIAjQEBSoAG4v7VNEkevbjN/v1wfpL+f/7o6w/VL795fLlaLcpvjp48+7X53GzypvrnIjlrTVL51f4RoDEgQAnQMLwtw/H451UdoElykufpanmVJEqAJsnRz/UHCVD4Q4ASoEGYJ5OXaVh+vMgzsw7QMgHvpmWAFgF5f5Wc1p/sSUkCFMIIUAI0BHfTo+JoPd3XvGwC9ItpkZjzo9+pAZr+vtkFJUDhDwFKgIZgVh98L56+bgL0t1f5Mfzy6nTWCtDlVStA/zpNjl+vqt/fXySTf7mbnrZ+tX8EaAwIUAI0AMur9r5iFaBn8/z1u+nlTNsDLU+OrrKU/H1+YelN+fvscD9J911PW7/aPwI0BgQoARoANRCbn9MAvcuP4edHP7cC9OOFcrVolkxeZ0f+Z8Xv0389u11dJ9lZUuVX+0eAxoAAJUAD0Bmgy+wYPj2CX83aV+GPlavweT4ussDMAvRumk9qXgRo/av9I0BjQIASoAFQLwoVP5cBml8HSo/g2wGajxYtfrgsrxTl5zyzAC33UqtzoNU/948AjQEBSoAGQD0H+l+3aoAu0ohMj+BX7XOgGQIU/hGgBGgI5nU05ofgTYA+nJ9mR/CWAK0QoPCHACVAQ3A3LXdBi0s+TYCuZkd/SY/ghwdo6xwoAQpZBCgBGoR5MnlR3ImUnQ1VAnSRPMleGRyg5VX4KQGKPSBACdAgLKt74fM7kpQAfTjPL6IPDtByHGhCgGIPCFACNBAfnxtPY8rysLi3c4MAze5ESo5/4Bwo9oAAJUAPkjVr94oAjQEBSoAeluKxJOle6KXnQgjQGBCgBOhhyR4dWp4C9YsAjQEBSoAemOXb7FzqS99lEKBRIEAJUIggQGNAgBKgEEGAxoAAJUAhggCNAQFKgEIEARoDApQAhQgCNAYEKAEKEQRoDAhQAhQiCNAYEKAEKEQQoDEgQAlQiCBAY0CAEqAQQYDGgAAlQCGCAI0BAUqAQgQBGgMClACFCAI0BgQoAQoRBGgMCFACFCII0BgQoAQoRBCgMSBACVCIIEBjQIASoBBBgMaAACVAIYIAjQEBSoBCBAEaAwKUAIUIAjQGBCgBChEEaAwIUAIUIgjQGBCgBChEEKAxIEAJUIggQGNAgBKgEEGAxoAAJUAhggCNAQFKgEIEARoDApQAhQgCNAYEKAEKEQRoDAhQAhQiCNAYEKAEKEQQoDEgQAlQiCBAY0CAEqAQQYDGgAAlQCGCAI0BAUqAQgQBGgMClACFCAI0BgQoAQoRBGgMCFACFCII0BgQoAQoRBCgMSBACVCIIEBjQIASoBt6OE9sjn6WmuFIEaAxIEAJ0A0RoMMQoDEgQAnQDT08f2LzlABtI0BjQIASoBBBgMaAACVAIYIAjQEBSoBCBAEaAwKUAN3C5/fvf7xdLX/dx7zGhgCNAQFKgDq7flxcfX84P/4gP7exIUBjQIASoK7eVsOXHs6TyRvx2Y0NARoDApQAdTRP0/P436ZpgC6vkuTkVnp+Y0OAxoAAJUDd3E2T5GW685kNoM8S9FJ4fqNDgMaAACVA3cyS5HRVBuhqkf8AFQEaAwKUAHWS7nRm5z3LAE13RzmG1xCgMSBACVAnD+f53e9lgJY/QUGAxoAAJUCdEKDrEKAxIEAJUCccwq9DgMaAACVA3cyS5KwO0DkXkQwEaAwIUALUzaIcQ58FaPpvhjHpCNAYEKAEqJts7OfkdRagy+8TBtKbCNAYEKAEqKPWk+m5ldNAgMaAACVAXWX7oCUeJmIiQGNAgBKg7u5fZc9jmnz50x7mNToEaAwIUAIUIgjQGBCgBKiT5f/lqlE/AjQGBCgB6uThPDl+TYb2IEBjQIASoE6Ka/BPOfvZiQCNAQFKgLq5uSjGL33JBXg7AjQGBCgB6mr57nGRoS84lLcgQGNAgBKgW/j8blqMA+V0qIEAjQEBSoBu5/5VkaFfEqFtBGgMCFACdGsfXxXfzgkVARoDApQA3dby5jkBaiJAY0CAEqDbydOTK0kmAjQGBCgBuoX84D07Acp4UAMBGgMClAB1VV0+On4tPqsxIkBjQIASoE6W5QAmDt27EKAxIEAJUCf5rZzchtSDAI0BAUqAOkkD9CmH7n0I0BgQoASok+WPHLr3I0BjQIASoBBBgMaAACVAt/D5/ft0T3T56z7mNTYEaAwIUALU2fXjpPxyeL5UzkSAxoAAJUBdvc3HMeUBytcamwjQGBCgBKijeTaG/t+maYBm3298wjUlDQEaAwKUAHVzN02Sl+nOZ/YQkSxBL4XnNzoJoqBvdd+xOBwB2ke6jlmSnK7KAF0t8h+g8t2xsR/6Vvcdi8MRoH2kx4Fe5ec9ywBNd0c5hgcIUAJ0mIfzJIvOMkDLn4DIEaAE6CAEKGAiQAnQQTiEB0wEKAE6zCxJzuoAnXMRCVgRoAToUItyDH0WoOm/GcYEEKAE6FDZ2M/J6yxAl98nDKQHMgQoATpQ/kjlCrdyAisClAAdLtsHLfEwESBDgBKgw92/yp7HNOE7OYECAUqAYjf2dzch/DE2uu9YHI4A7RNKHdHy3bOxH/pW9x2LwxGgffZax8PzJ0+5E6ltTF0JrghQAnQHuJXTNKauBFcEKAG6AwSoaUxdCa4IUAJ0BwhQ05i6ElwRoAToDhCgpjF1JbgiQAnQHSBATWPqSnBFgBKgO0CAmsbUleCKACVAd4AANY2pK8EVAUqA7gABahpTV4IrApQA3QEC1DSmrgRXBCgBugMEqGlMXQmuCFACdEPLX94bfpgSoLoxdSW4IkAJ0A21HqTcIEA1Y+pKcEWAEqAbIkCHGVNXgisClADdkO0QPvUjX4rUNqauBFcEKAEKEWPqSnBFgBKgEDGmrgRXBCgBChFj6kpwRYASoBAxpq4EVwQoAQoRY+pKcEWAEqAQMaauBFcEKAEKEWPqSnBFgBKgEDGmrgRXBCgBChFj6kpwRYASoBAxpq4EVwQoAQoRY+pKcEWAEqAQMaauBFcEKAEKEWPqSnBFgBKgzn755qvG1zyNqW1MXQmuCFAC1NHdlOeB9hlTV4IrApQAdaPlJwGqG1NXgisClAB1M09D8+m3n2q/Cs9vdMbUleCKACVAnSyvkuRUdhYjN6auBFcEKAHq5OE8mbyRncXIjakrwRUBSoA64Zvg1xlTV4IrApQAdZIewhOgvcbUleCKACVA3cyT5FJ4FuM2pq4EVwQoAeqGY/g1xtSV4IoAJUAd3U2TyYtP0nMZrzF1JbgiQAlQJ+kOKAPpe42pK8EVAUqAOiFA1xlTV4IrApQAdfLw/EnbUwK0bUxdCa4IUAIUIsbUleCKACVAIWJMXQmuCFACFCLG1JXgigAlQLfw+X3qRx7EZDOmrgRXBCgB6uz6cXkFfvJSfmajM6auBFcEKAHq6q0yiOkZX+ihG1NXgisClAB1lD1RefLl+/c/vMqeTc+zQXVj6kpwRYASoG6yr/Qo9zuX6b4oDwfVjakrwRUBSoC6mal7nTN2QQ1j6kpwRYASoE6WV+pOZ7o7esJZ0LYxdSW4IkAJUCftp9nxbDvTmLoSXBGgBKgTAnSdMXUluCJACVAnHMKvM6auBFcEKAHqhotIa4ypK8EVAUqAulkkSVLdgHSd8AVJhjF1JbgiQAlQR+leZ3L87adPn364YCC9xZi6ElwRoASoo+WVcisnZ0ANY+pKcEWAEqCulvXN8BNuhTeNqSvBFQFKgG7hl2+++uqrr3/cx6xGZ0xdCa4IUAIUIsbUleCKACVAIWJMXQmuCFACFCLG1JXgigAlQDdU3LbJ98KvM6auBFcEKAG6IQJ0mDF1JbgiQAnQDT08f/L05+y/bU8J0LYxdSW4IkAJUIgYU69fH5wAACAASURBVFeCKwKUAIWIMXUluCJACVAny1/e/6jcfvTLuxfcjNQ2pq4EVwQoAeqEByqvM6auBFcEKAHqhABdZ0xdCa4IUAJ0U3/9KvX7aTL54qvKBcOYDGPqSnBFgBKgm8q+Ed7EA0E1Y+pKcEWAEqAbm1ny85gdUM2YuhJcEaAE6MaW79+//yE9hP/2fe2T3NzGakxdCa4IUALUCZeN1hlTV4IrApQAdaKNA4VhTF0JrghQAhQixtSV4IoAJUB34xP7o21j6kpwRYASoK6WP9TjQJ885oyobkxdCa4IUALU0aI9HJQA1YypK8EVAUqAutGH03/JIXzbmLoSXBGgBKibeRaaP5wnkz++u0iSyaXw7MZnTF0JrghQAtTJ8ipJzvKbki7zMD1hB1Qzpq4EVwQoAerkId33fJNH51mRpuyCasbUleCKACVAnZR3Ii2Kp4gseJiIYUxdCa4IUALUSRmgd9P84D39iWN4zZi6ElwRoASok/SoPQvQMjm5M940pq4EVwQoAepmlp8DbXKUANWMqSvBFQFKgLqZF6c9i8vwCy7DG8bUleCKACVA3aQ7nVloptF59NPfzrmIZBhTV4IrApQAdbTIb9/MRjBlsuN5qMbUleCKACVAXd1c5Kc/L/L8fCk+u7EZU1eCKwKUAN3WzVdfvfh1b3MbjTF1JbgiQAlQiBhTV4IrApQADcT9q2mSPHqRX8x/OM8u6s8fff2h+uU3j4uL/cUJ12fKHu8iu5m0NaE/u5ZwNz21TM9xgmPqSnBFgBKgYXirfj9yGaD14KjyZvtF/fA8ZdSpHnh5CrqxB6jjBMfUleCKACVAN5SNX7LYciD9PJm8TMPy40V5Z1MZoOXF/ezho5dNtt1f9Yya2jZAdzXBMXUluCJACdANiQTo3fSoOFpP9zUvmwD9Ylok5vzod2qApr/vnh0Biv0hQAnQDT08f2LzdKsAndXHzYunr5sA/e1Vfgy/vDqdtQJ0edUEaP7ibPLdq/Tw/3XxoOf8bTcXSfIoH101P/qPi+Top6uj/3ybJM9Wy/Sdz/JTA81bVvfP0xf/1hzC3796nE7n6QfrBAcZU1eCKwKUAA3A8qo9EL8K0LN5/vrd9HKm7YE2d44uygc7l8P5q7ybF688WxX7r8nJP66y/yXJy6sqEZW3FF9Q8kUdoNUXltgnOMiYuhJcEaAEaADUQGx+TgP0Lj+Gnx/93ArQjxfKhZ4yQCevs8P/0+qIe5Ec/5TuR14UD8yvnnvyYXWdRumH1V+Lu1Drt6S/S/dJr6fJaT2936YF3J8XYapPcJAxdSW4IkAJUCfLH3c5tc4AXWbH8OkR/GrWvgp/rF2FL04BLJoAnRW7tA/np/l0Vs3Z1ewX+TlU5S1303z+80S7Cj9vAlSd4CBj6kpwRYASoE4ezpOnP+1wau2LQnWA5rmVHsG3AzQfLVr8cFmdAy0O9asArW7RzwdCzfO9xuI0QXH2NJuf+pZFcVVfHca0/Pj+m+dJHaCtCQ4ypq4EVwQoAeqkuBb/5Y4yVD0H+l+3aoAu0vCbZ7uLrXOgmd4AbYYKpJ+tAjSLziZA1beUE24CNLvQlJQnP80JDjKmrgRXBCgB6ubmorjK8uWH9e9db15HY3403QRoesicHcFbArTSsQeq5Jw9QNtX8rU90Fky+erP73+dK3ugm47TGlNXgisClAB1tXz3uMjQHTxK5G5a7oKmh8pn6h7oanb0l/QIftMALd5fsgeo+hb9HGh5TrYoxpzgIGPqSnBFgBKgW6gytLyFfQvzNIeLO5GKgKsDdJE8yV7ZJED/OT9Dmj1hb/l9ctoZoOpbZsnp7epm2gTo5HV+yb0IUH2Cg4ypK8EVAUqAbufzu2LI5PHrrTJ0Wd0Ln9+RpATow3lS7wAODNA89t42Zyw7AlR9iz4OdFad8bROcJAxdSW4IkAJ0K2VGTrZbjf043PjaUz55Zx89NEGAbr6a74jubp+nD22qTgytweo8pbVfXZ7knIR6W1ezN/yQ3tjgoOMqSvBFQFKgG7rprpizfd6qMbUleCKACVAt3LzvDyA//iKBG0ZU1eCKwKUAHVX7nuWx+7ZWHO+m7M2pq4EVwQoAeroY3nk3gwEvZsOv8Ry+MbUleCKACVAnZR35mQPkFNfI0BrY+pKcEWAEqBOsgDVL7unrw29UTwCY+pKcEWAEqBOHs4t93B+kp3nuIypK8EVAUqAQsSYuhJcEaAEKESMqSvBFQFKgELEmLoSXBGgBKizj+++anzN5aO2MXUluCJACVBHdxeJigFMmjF1JbgiQAlQN/rXwxOgmjF1JbgiQAlQN9m3/D799lNt+4cqH5gxdSW4IkAJUCfc+L7OmLoSXBGgBKiT9AieRy/1GlNXgisClAB1wn3v64ypK8GVGaBjYjRZ3/EZT4Cmh/AEaC8CNAYEKAHqZp5s+jWVkSFAYxBMf98FAlQhXQe7oGsQoDEIpr/vAgGqEK9j+SqZvOD5S50I0BgE0993gQBViNWhj6AvsTuqIUBjEEx/3wUCVEGAekaAxiCY/r4LBKhCLkCfP7F5SoC2EaAxCKa/7wIBqgiljmgRoDEIpr/vAgGqCKWOaBGgMQimv+8CAaqQHkj/y/sflSeA/vLuBc8DbSNAYxBMf98FAlSx11s5ubHTRIDGwHI3z3iYTdZ3fBKgqBCgMeBWTgJ0U3/NvsHj99Nk8kX9fR4XDGMyEKAxMAPUdwINR4D2kavjbmr7Y8bDQTUEaAwIUOmifBGsY2bJz2N2QDUEaAwIUOmifBGsY/n+/fsf0kP4b9/XuCfeQIDGgACVLsoXHqjsGQEaAwJUuihf9jsOFAYCNAYEqHRRvoRSR7QI0BgQoNJF+bKXOj6/z/ZDl3ylsQUBGgMCVLooX/ZQx/XjJB//+XB+/EF+bmNDgMaAAJUuyhf5Ot7m45fyAOUrjk0EaAwIUOmifBGvY56N/vy3aRqgy6skOeGKkoYAjQEBKl2UL9J1ZPcjvUx3PrPBTFmC8hWdGgI0BgSodFG+SNcxy+/eLAJ0teBWTgMBGgMCVLooX6THgV7l5z3LAE13RzmG1xCgMSBApYvyZT93IpUByn1JJgI0BgSodFG+EKCeEaAxIECli/KFQ3jPCNAYEKDSRfmyh4tIZ3WAzrmIZCBAY0CAShfli3Qdi3IMfRag6b8ZxqQjQGNAgEoX5Yt0HdnYz8nrLECX3ycMpDcRoDEgQKWL8kW8jodz5YH03MppIEBjQIBKF+WLfB3ZPmj1hR48TMRAgMaAAJUuypd91HH/Knse0+TLn/Ywr9EhQGNAgEoX5UsodUSLAI0BASpdlC+h1BEtAjQGBKh0Ub6EUke0CNAYEKDSRfkiV8fnTzZ8rYeGAI0BASpdlC9idbSGLzW4F15DgMaAAJUuyhcC1DMCNAYEqHRRvogG6NOvDF9zK1IbARoDAlS6KF9k90AnLzjnuQYBGgMCVLooXwTr+PgqO2Z/9IJ9zj4EaAwIUOmifJGto8jQ49dkaCcCNAYEqHRRvojXcfM8y9Cnr6XnM1YEaAwIUOmifNlDHcubCzK0EwEaAwJUuihf9lPH8l32OJGEx4mYCNAYEKDSRfmytzqKDJ0843RoGwEaAwJUuihf9lnH/QUD6Q0EaAwIUOmifNnzHigBqiNAY0CAShfly37q+FykJwPrTQRoDAhQ6aJ82UMdn99NSc9OBGgMCFDponyRroP0XIMAjQEBKl2UL6J1kJ7rEaAxIECli/JFro77P5GeAxCgMSBApYvyRfh5oKTnOgRoDAhQ6aJ8EQ3Q4z+81/3IQPo2AjQGBKh0Ub7wRHrPCNAYEKDSRflCgHpGgMaAAJUuyhexOpbfmN/nwVd6mAjQGBCg0kX5Ekod0SJAY0CAShflSyh1RIsAjQEBKl2UL6HUES0CNAYEqHRRvoRSR7QI0BgQoNJF+RJKHdEiQGNAgEoX5UsodUSLAI0BASpdlC+h1BEtAjQGBKh0Ub6EUke0CNAYEKDSRfkSSh3RIkBjQIBKF+VLKHVEiwCNAQEqXZQvodQRLQI0BgSodFG+hFJHtAjQGBCg0kX5Ekod0SJAY0CAShflSyh1RIsAjQEBKl2UL6HUES0CNAYEqHRRvoRSR7QI0BgQoNJF+RJKHdGyPrcfB0ff6r4TaDgCtE8odUTLd8fGfuhb3XcCDUeA9gmlDiAiIWTQUARon1DqACISQgYNRYD2CaUOICIhZNBQBGifUOoAIhJCBg1FgPYJpQ4gIiFk0FAEaJ9Q6gAiEkIGDUWA9gmlDiAiIWTQUARon1DqACISQgYNRYD2CaUOICIhZNBQBGifUOqIl+9bZLAPxkb3nUDDBVk8AYqC756N/dC3uu8EGo4A7RNKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHdEKoTVCGgEqXZQvodQRrRBaI6QRoNJF+RJKHYPdv5omyaMXt9m/H85P0v/PH339ofrlN48vV6tFUpg8+7X+2PLq6Gcf5a4VQmuENAJUuihfQqljqLdlOB5ncVgGaJKc5HmapmSSKAGaJE1oEqDwiACVLsqXUOoYaJ5MXqZh+fEiz8w6QCdv8t/eTcsAPct/vL9KTqsPEqDwiACVLsqXUOoY5m56VBytp/ual02AfjEtEnN+9Ds1QNPf16lJgMIjAlS6KF9CqWOYWRWNq8XT102A/vYqP4ZfXp3OWgGqpGb5z+vHSfLoZfZjvtM6z3dR76an+oz2J4TWCGkEqHRRvoRSxyBl7NWqAD2b56/fTS9n2h5oeXK0DNDsHGkmfXWevTH9OXvDIvu3LyG0RkgjQKWL8iWUOgZRAlH5OQ3Qu/wYfn70cytAP17UO6xFgM6TSbrfejNNX873Ou+m+dnTmc+j+xBaI6QRoNJF+RJKHYN0BugyO4ZPj+BXs/ZV+OPWVfhqB/ZuenKbf2Ix+VP6fn2q+xVCa4Q0AlS6KF9CqWMQ5aJQ+XMZoKtZGo3pEXw7QPPRosUPl1mAVkmZ741mn5gd/cf5aXPE70UIrRHSCFDponwJpY5B1HOg/3WrBmh2GnOexWLrHGjGGqDpZBbZfutptiM6a59Y3bMQWiOkEaDSRfkSSh3DzOtozA7DlQB9OD/NjuAtAVoy9kDTT2RnTudH/3nl8wg+iNYIaQSodFG+hFLHMHfTcm9xeZWFZBOg6dH4X9Ij+P4AVc+BZp/493xH9A9Tn0fwQbRGSCNApYvyJZQ6BponkxfFnUjZ2VAlQBfJk+yV3gBVr8Kn75o8Tl8qL8T7E0JrhDQCVLooX0KpY6BldS98fkeSEqAP5/mY+P4AVcaB5mOYTuuhoP6E0BohjQCVLsqXUOoY7ONz42lMWV4W93auCdDmTqRVdRYg/YTH25BWYbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6ohVCa4Q0AlS6KF9CqSNaIbRGSCNApYvyJZQ6opUgCmPe6kE22b310H6h1BEt3+0Q+zHmrR5kk91bD+0XSh0AMDoEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcE6EDzJDlTflwUPy6vkqOft5xyOo3JG/2VQVO1v29583yaJMmTF79uOLnM/Wu3mQpqZri+uJ1IN3XjydcfmpfVBV+0GkT608ntlvN9OB88jWqd+CoVFQJ0oLEE6PLdtO5Rz243mlz6zrethRw8U1HVDIcUtxOtVMpWY/PyafOuViqlNSbJ5Zbz3TZA91gqKgToQCMJ0Lx71Ir+OLzI9q7K4JnKqmY4pLid0FOpnG3+cpM8rXLupu3IcrKDAN1XqagQoAPZA3QXzADd4JNaluX5efw6O3j/+LzqKLsN0L3zEaD1jD5fT6vD4TyVmhXZKmeeTB67bsXaBgHqu1RUCNCBxhGgs0Sp67rcDSFAN9Pe1Pfn5Y/F3l6976aWk0Xf9dblbRmg+ywVFQJ0oFEEaHZ4ppQ1Lw7iCdDNaJt6XkZR+v8vps2RsVpO9u80mbY8tbF1gO6vVFQI0IHWnQNdXj9J/+g/fV32gFnaF24epy9kF0Y/v8t+N3laX0ReXqe/mnxZXDQtAlR7pZ6q8rIxJSMZ5+0LrFlH+VC/TQnqNGjL06N51Y+KC/aL8jzaZe/yNFM7+nn5rl3efXba4OkHIwlaa0ObcrsGS5XFDNXi2p9QLW+eK9O21livmpPbfO0eZ+syv/T26GW9FrVNXaXSmXJ5W02lWVbzzH5txrLJjNX2Kv3x2a2+2npqVM6B7rBUY/O1N5W19v6tmS3DYZ8uIEAHWhOgd9W17+Oiac3yA6Ukbz3Nmf6yXd5dFD9OiqhKI+O7mfZKOdXWG40p6QGanQFtdYxP6kUkS4DWVecLo2ZU9/IoAfqXqfIJpbzfWAK0Xhv6lNs1DAlQ7ROK+4vWtG01lrKQ+MdVNZXqc6e2TT1TUilbw6etFtAUurBem7Fsso7VdvJ3S4B21NgRoLsptd582qay1b5maxKgKPUHaNNuip/TpvxoWjZ39UppPom0UZXytpVFxuPWp6upam80pqQHaFqF7dCsM0Cb6ecdwppRxvI0U2sU010or+gBWq8NfcpaDQMCVP9EQ/lNtR71GpW3nvxr9ZvvrlrTa2/q+rRI/vJdfWSspFLxAeupGMsm00uq3/JPlgDtqNEeoNuVamw+fVNZal+3NQlQlIwBI2qEZe0mO8xaZhdC87/t2R7lSf5HOfvds/yy+EXZMNPfTV4Wu0unq7JdTl7erpbft6eqv9GYkh6gHUOkOwM0Xabjn9If76/KDy6UiO9aHjVA86rfllXnH0rfkn3GCFB1bbSmrNfQFaBNcUbV6mwmL26LY932mq1qrOU9PZvMfd7ls7pvpsr+W/W+T+/US9tnyhj1JpWqkrW/sdaNv8lq66nRFqA7KLVVh7GpOmrv25qHjwAdqDdAm+Sq/uLO6leaw6VyB7H+o1z+I2uXRx+qmSjdQ3+jMaVtA7Q+FaZnVN/yKAFaznxed57myM9ItmZttKes17A+QI2qK+n7y4+W/zJrrGVdvyhkkSj/yv9hbOrLahLFzlu9js7q+Z4qW0Vl22SDV1tPjZ3jQN1LNeowNpVZ+9qtefgI0IF6A3TWHKeUjXVmuWRcXvxsOtU8b251O9cjQ3+jMSVLgNpGSPftgZ60Lq40GdW9PEqAtqueqSf1jAA9q/6lTVmvYdAe6Il2SaiebbX4s3aCKJfNSlk4XVb/KmdYXZzWNvWkfW2piumFskxJdeq6+xafZpO1S1KWV19tPTV2BOg2pRqbz9hUtk2+ZmsePgJ0oL5zoOrl0/JvvHGd8/Mv35RHWHoadkaG/kZjStvugeZnvSZf/PlWmUB5ZNa9PF1TU8bG6GnVfNqcsl7D+gA1qjbmUk3bNu6g1FRr/qt9g/mL6mNzJcBvlVRqJtB5l3lrkw1ebT01WgN0q1KNOsxNZat9zdY8fAToQGsCVKX9ba6e7pHRdleLX3dFhv5GY0qWY9iNAnQ1q/ZcylEnTYB2L09PgFYztwxjanagzCm3algfoEbV5no09+42DNBiQMC7aT20SX252BGry1EvvphXTMxNNni1DQvQHZVq1GFuKlvta7bm4SNAB+oLUOVapCVA1d9uF6D6lPQANS55LqtM6ghQ5ckj6smy3uXpmpoSUd0BapmyVsOAANWrbtZjvTaKCrYM0KLcZ9VH6peLI+OFElIK7cSNZZMNXm0bBOj2pRp1mJvKVvuarXn4CNCB1gSovufXBE7xZ/rR06+//fv5dgFqTEkPUOPM1iLvVN0Bmrp5pbT3JkC7l2erPVD7PrJaw4AA1as21+Nu9kCLeWojgMp/ndxW5Wgp0r50YttkEnug25dq1GFuqr7wV9i2zeEiQAdacwivX3JsAmdeDzIu3+Z8DtSYknGpU78MUV9L6Q7Q1OcfXiWtk2W9y+N2DlS7TmOoaxgWoK2qlaVVbl7c6hxoPaPsJGNzbaW5jpacKde06ncbf8Fsm2zH50B3VKrtHKi2qfpqbzO3zcEiQAfqC1DrNc2yrSmtblH80W8NbbF2c+MqfP5Gc0pGgGr3wmtva4V6kVXVx5sBAtVo767l6QxQ5UOWq/DN2jD+emg16FXqAWp+omK7Cr9tgLaH7lQvZ0fGf6r/2CjHCdqSWzfZ4NW2YYBuXWq7DrMR9NVev6Nj2xwsAnSg3juR5vVIzup9lgDNhkNnb26GK3Z183Kq2hvNKRkBmu+F1GVeT9uRU93ol3++PONfvrkdoH3L070/W/fIZvxipRWK7SkbNRhV6nugxicqtnGg2wZo/jfJvMNzrp71UCbclFCtK3OTDV5tGwbodqWadRibylr7mq158AjQgXoDNGtz2S0aq89vk2rgedXWZsVRXHF2vRqUPnm5yu/nsPcpJfHUNxpTMgM0v0yQP8mheKxGcalIGfPy7La4baQexlTfJ6MOjO5bns4ArW5lubHdiaSeEW5N2ajBqFIJ0HyqxieUbM601wAADu1JREFU2TR3IpWf3DpAmyNj9eXi3KY54Hd51S7Jtslsq+0n22rbNEC3K9XYfMamstfevzUPHgE6UG+AtsaHaEPRzaEjyuiP/uvO2huNKZkBunq4UN90nP/WnNwfz9vDmJLy4K+4ynDZuzzdZ1T77oVXB1zrU27XYFRZlV8Xp3+iWXjzXvjtA7Q+Mm69vCjr12/pWRjfRmRsss7Vpj+DZeMA3apUc/Ppm2rNJu/amsbIroNCgA7UH6CrhTZ6Q4mMt1X/eVGdMqofGlQNLukIUO2NxpQsAVrcp1zSvxOpKvKsuuTajGs5frOqfz7rXZ6eS1LVsG7L05iaXqRPWa/BqLIqvy7O+ETNfBrT9gFaHxm3Xy4fXW27RVQ9LWjZZEZJ18UC257GtFmAblequfm0TWWrfd3WJEBRWBOg6VFa6zmIamTkB9OPXihPEcsf8lg8HbM3QNtvNKZkC9DsAZSd38r5+e00e3ajMmbl46vsvfXjHJfZ1dNnvcvTd02/fKBkefdSozUgS5uyUYNeZV1+U5z+iWba5fNA61J3EKDVkXH75Yfz8ry0dqVlpu19m5vMstrSxbE/D3TDAN2uVHPztTeVtfY1W5MABTZlBCjGhM23AQIUO9IMw7Q9SQWBY/M5IUCxI9k18OzY+fNb/eIORoDN54QAxY6oNwqyBzM6bD4nBCh25Tqy50gcGDafCwIUO/M5+8ZG67dlYgTYfA4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgIbD/njP3U75/nX581ZPaaynMrze+9e9v95kWmsm1WenT2ozvr15E/nTi1vP55z13EQ5cLP1rEWHTVZabH1vp1zD9o8ADYd8gC7fGs8Wd5laM5Wh9VYfWVvhDibVJ7AA1b+TqGPJBm+2zrXosMlqBGgfAjQc8gG6ML+cwYEylaH1ru2Ew6e1VX8OLECNr0+yL9ngzda5Fh02mfFZdwQoDsNuA3SXH4kxQJ+0juFn2c/SAeqCAO1DgMaEAA0pQP+gFvNwPvkTATo+BGhMCNCQAvSlusyL5OSaAB0fAnSI/MsxJ19+qH8uv/yx/ubBk9v8LcfZpc7lu2mSPHqZ/yrvsNmXHU6e1U9Z/Jx/j+Gk+urIWfrhm8fZtyE2Xz95rX3TYXt++fuW79olldMqO1jzZYjpv07LFlx9ifdl2ROvLVNYX3FrKvWXhz7pq6/5SOdK7fmuz9baaE2qPVtlTVpWobZ02fdk2reHZe23Z5N9i2Zi+xbNDTZUHqCX82aVpG89a5KqNceezaZ81+ii/ObN6vtX126ywZXaArRVoLIYVUGWBqFP4kAQoAPclV83Pinbifb141lH+sdV9TDv6pf5nk7WYcvvSqiCofr27eo7ZWf5rkf2+6qd3emPBje/7vzoL9V79G/2Lj6ySJR/XVoD9LtZe6GqZV1XsaU31gV31GcN0PZK7Q7Q9tpQJ6XNVlmT5iocunSWta/PpvqE8T3uG2yoInWU/eG76dHPdVK159iz2ZTVlf/trLfI2k22QaWWAG0XqCzG3LplCNC45QNMlE7X/Fy0iyxA/7V6x3dX1e/KlvTPV60PN027bJez5FHe3Kr9RHXyRVvW57e8UqbROqarm/I8qcbIzLLP2AL0cWua6iT6KzZ7o/JtOvb6bAGqrdTOANXWhjIpfbbKmjRWobJ0/1T9zr49jI8as6k/8U96gA7fUEXUKMEyT6uukkqbY99mq/9iFnvDytfFqwtlbrJNKjUDVCtQ2a0t/mVpEARoxLLvK3xZ/NE+rX5OjwDzQ/Xshbw1Hv+UviNvltlf3ZvyV3lTyl64Vt6bHxt/vCh3ebI9ihP1D/W8mNjq/qp5R2t+eWufvLzNRve1G3c93jN7R/7ZdsdSTqaVU/hem8KQirUxMdkbsnMXy+vu+sxOqK3UzgA11kY1KWO2ypo0PjR86fSPGrPJXyinoAXo8A1V7qvVB7/pOy+rJTMXrHuz1cfwxVuULdK7yTaq1Nh2RoH1YhR/wG0NggCNV30+sfxH2krKTl7+K2swdTNu/pX9I+uw9ZFhuTNWHu6kL1Rt+aR1qmim9Kry73l7fllrLxvkvD0YO/05f2ta0VfFv9KPNB2r1ROPPlinMKBirTcu6gUoV5ClPlsnbK3UzgDV10Y9KWO2ypo0PjR86fSPGrOZq8f6ejoP3lBF6NRHDNkRfLVk5oL1bLZZUu0WK2tx7SbbqFJj2xkF1osxq44SjAZBgMaraY7FX1qlhc3ytpUFaNHpWtdu2i21fG+jfIfyerMHeqKeyDfml7X25vyc3oeLPpid0bpcaR2r1RO7p7CuYq03zppjvkVXfbZO2FqpfXugrbVRT8qYrVKv8aHhS6d/VJ+NUuFcC9BNNlSx2Mo5y1NlMfQF69lsi6Lppb/JfjSSqmOTbVSpse1sG7w63OlqEARovObaebRZ83N9yFK2D+Nf7cukzV/2z798M03qAC0n1+w/pIdTX/z5tmt+tkvVpfLC8Dy/wnFqdCzLeBhLgK6ruN0b1WvRnfUZnVBfqZ0Bqq8N5UBXm62yoowPDV867aPGbJpNbKy6TTZU88e4zL/LasksC9az2fJBFvUfznZSdW6yzSrVt52lwLm6p2xtEARovJQ/qBl1MF7R2PoDtLnOWvxzefO8OsdeBmg1OeUEVW6Sj6Qx59fX2qtrRmf5oB69Yw0L0HUVGwGqstfXtxejLrvlo+21oQaoNlt1mvqHNli69keN2SjxoA1j2mxDzasLYUX+ldl9Zl2wvs02K3cp1Utx6zbZZpVaAlQvsGxms/qMltEgCNB4mQFat4aiCw0O0OqsaKUjQPNT+4Uz2/zWtPbL7G2XRZ9atDvWxgFqrbjdG9VfJwIB2l4b9aTM2arT1D+0wdK1P2rMRllfZoBusKFaZy5myo6mZcH6Nls1TK1YV+a4CNsm27hJmZcZ2wUW8y/Xh7VBEKDx2ukeaPHn+dHTr7/9e30OVA/Q1M2rug9vtruQTv8sOwWaB9tlsRu63R6oWbERoNpoyN0GaHttqAGqj2JvT7P1oQ2Wrv1R2wre4R5o8b+Hc+UI2LJgfZstP4Yv9wDVq/B9m2y7PVBLgdVf644tQ4BGreccaHEebZNzoPN6PPZDX4CmPv/wqvj7bcyvr7Xn+wKzMtZPyzNkW50DNSs2DuG13rHTc6D62lAO4fVOqYey8qENlq79UWM2w86Brt9QzZDzbACospIsC9a72bJj+PIIXrlG1LvJNqvUcghvxGH517oaAmI2CAI0Xq1BIaf2q/A9AVo1nVlzM141WWuAKq2tmIjtkmlna8/2Bb67Ks9IZTfmqPf5DAzQdRUbuzP6PZoDAlRfqc353/Y1bmNtVJMyZ9t81vzQ4KXTP2rMRnlhyFX4dQGa599MPTlhWbDezXY3zTZ48YOxg2nfZJtVqm87S4HZa6fVDrm1QRCg8WqGvsyqYyxjHGhPgNYj/dptOxt0b98DbcbXFBMx5tcboOkrf6hHMP2+LGezAF1Xsdkbj5qbHO290QhQfaUqF9BO67kVJzbba6OelDFbZU0aHzKXbpHfcWMunf5RYzZ1bDbDf41lGrChqgBN6/hjcQRfLZm5YL2bLX3xN+dlzXqAdm2yjSq1HT1oBWb/OPr3KjdtDYIAjVh500x2k0bVyevbOLK2tiZAky8/NDdlzIqjq+JKRTn8WwvQbCBNfR/JqWV+vQGa/f1PmisJp+qU6yHOawJ0TcXKVKozbtlNLKvPb5Ou3rhI9Dq1lVpVmN2E+Oy2mHs9jKm1NqpJGbNV1qTxofbS/drcgmMsnf5RYzb5fTY/FTebGUMghm+oKkDz85X19aBqfEF7wfo32zx5NG3veq/dZBtVarsJQiuwXLFN2zcaBAEaMWVcxpn2c94u+gP0kT6epGEP0HogjTL91s+9AVrc0FgljHZDTnGB9HJNgK6rWJmK8Y4ze33VRzpXajWt5uU/nreHMSXq3wX1tvh6u1iGMSV1r67rqe+F79we7Y8as6lf+M2Ae+HXBqjyVUgLfQbVb/o3211zR5TyJ7h/k21SaWtqxvSbm0CaP1WWBkGAxqx+dM2Z9nP9NKa+q/BlczoufvG2atcvylNFlmFM9ZMdjt/Y5tcfoIu6zlmdHu0pn60J0HUVK1Mppr9ojxmyjUW6UlafbaUa0zpTT6mpa6OZlDbb1jAmfRUqS1cOsykvs3QsnfJRfTbFXfADn8a0PkAX9V5cvaunz7F/sy2v1BjL1+L6TbZBpWaAmqukOHSo/0CaDYIAjVr+6Mr8OZPlz+XDFIuf1g1jyh7cVj4fNJV/NHsc5aI6iDSvwn98NU3UJ1C259cfoM2Npc2lgnrKy+za8rN1AbqmYmUqVUC/Ux+haZt6+ZHOldpM6/Pbab6ozSAhbW00k2rPtn0VXl+FytJl4dE8D9RYOnPtv9MeEHqfvqH/eaD1al8foM1UmmNlfY79m83SggZsssGVWgLUXCXq5Tnj9wQoHCnjDkdifBXHzpLj2BsCVNT44mh8Fcdurl/kwR4RoKLGF0fjqzhyN9PDPT4eAQJU1PjiaHwVx2zRvpKDvSNARY0vjsZXcczuzMGo2CsCVNT44mh8Fcfs4SK/7wDeEKAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEcEKAA4IkABwBEBCgCOCFAAcESAAoAjAhQAHBGgAOCIAAUARwQoADgiQAHAEQEKAI4IUABwRIACgCMCFAAcEaAA4IgABQBHBCgAOCJAAcARAQoAjghQAHBEgAKAIwIUABwRoADgiAAFAEf/H5dVfKb2K/ZhAAAAAElFTkSuQmCC" 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" 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" width="672" /></p>
355
+<p>Similarly we compare the clusters obtained with this clustering analysis and the available TCGA survival annotations:</p>
356
+<pre class="r"><code>clustering_results &lt;- data.frame(&#39;sample&#39; = sample_IDs , &#39;cluster&#39; = clusters)
357
+rownames(clustering_results)&lt;- NULL
358
+
359
+library(readr)
360
+SURVIVAL_TCGA_ACC &lt;- read_delim(&quot;Results_use_case_2/SURVIVAL_TCGA_ACC.csv&quot;, &quot;;&quot;, escape_double = FALSE, trim_ws = TRUE)</code></pre>
361
+<pre><code>## 
362
+## -- Column specification --------------------------------------------------------
363
+## cols(
364
+##   sample = col_character(),
365
+##   OS_STATUS = col_character(),
366
+##   OS_MONTHS = col_double(),
367
+##   DFS_STATUS = col_character(),
368
+##   DFS_MONTHS = col_double()
369
+## )</code></pre>
370
+<pre class="r"><code>comparison_s&lt;-merge(x = clustering_results, y =  SURVIVAL_TCGA_ACC,  by = &#39;sample&#39;, all.x = TRUE)
371
+
372
+library(&#39;xlsx&#39;)
373
+# write.xlsx(comparison_s, file=&#39;Results_use_case_2/Comparison_clustering_survival.xlsx&#39;, col.names = TRUE, row.names = FALSE, append = FALSE)
374
+
375
+  comparison_table &lt;- table(comparison_s$cluster, comparison_s$OS_STATUS)
376
+  subt&lt;-&#39;comparison with overall survival status annotations&#39;
377
+
378
+  mosaicplot(comparison_table, color = TRUE, main = &#39;Mosaic plot of two alternative patient stratifications&#39;,
379
+           sub = subt,
380
+           xlab = &#39;Hierachical Clustering results on mRNA and miRNA genes:&#39;,
381
+           ylab = &#39;Overall survival status&#39;,
382
+           las = 1)</code></pre>
383
+<p><img 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" width="672" /></p>
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+<pre class="r"><code>    comparison_table2 &lt;- table(comparison_s$cluster, comparison_s$DFS_STATUS)
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+  subt&lt;-&#39;comparison with disease-free survival status annotations&#39;
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+
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+  mosaicplot(comparison_table2, color = TRUE, main = &#39;Mosaic plot of two alternative patient stratifications&#39;,
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+           sub = subt,
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+           xlab = &#39;Hierachical Clustering results on mRNA and miRNA genes:&#39;,
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+           ylab = &#39;Disease-free survival status&#39;,
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+           las = 1)</code></pre>
392
+<p><img 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" width="672" /></p>
393
+<p>Eventually,</p>
354 394
 <p>Eventually, evaluate how clinical annotations, like status and stages, are distributed within the clusters obtained with this clustering analysis:</p>
355 395
 <pre class="r"><code>clinical &lt;- list(status, stages)#, grades are all not reported
356 396
 par(cex.lab=0.55, cex.axis=1, cex.main=1)