... | ... |
@@ -63,7 +63,7 @@ Imports: |
63 | 63 |
magrittr, |
64 | 64 |
coin |
65 | 65 |
Suggests: |
66 |
- knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
|
66 |
+ knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment, viper |
|
67 | 67 |
biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, ExperimentHubSoftware |
68 | 68 |
VignetteBuilder: knitr |
69 | 69 |
Encoding: UTF-8 |
... | ... |
@@ -41,6 +41,7 @@ Imports: |
41 | 41 |
progeny, |
42 | 42 |
easierData, |
43 | 43 |
dorothea (>= 1.6.0), |
44 |
+ decoupleR, |
|
44 | 45 |
quantiseqr, |
45 | 46 |
ROCR, |
46 | 47 |
grDevices, |
... | ... |
@@ -51,12 +52,15 @@ Imports: |
51 | 52 |
DESeq2, |
52 | 53 |
utils, |
53 | 54 |
dplyr, |
55 |
+ tidyr, |
|
56 |
+ tibble, |
|
54 | 57 |
matrixStats, |
55 | 58 |
rlang, |
56 | 59 |
BiocParallel, |
57 | 60 |
reshape2, |
58 | 61 |
rstatix, |
59 | 62 |
ggrepel, |
63 |
+ magrittr, |
|
60 | 64 |
coin |
61 | 65 |
Suggests: |
62 | 66 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
... | ... |
@@ -64,5 +68,5 @@ biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, Ge |
64 | 68 |
VignetteBuilder: knitr |
65 | 69 |
Encoding: UTF-8 |
66 | 70 |
Roxygen: list(markdown = TRUE) |
67 |
-RoxygenNote: 7.2.1 |
|
71 |
+RoxygenNote: 7.2.3 |
|
68 | 72 |
Config/testthat/edition: 3 |
... | ... |
@@ -56,7 +56,8 @@ Imports: |
56 | 56 |
BiocParallel, |
57 | 57 |
reshape2, |
58 | 58 |
rstatix, |
59 |
- ggrepel |
|
59 |
+ ggrepel, |
|
60 |
+ coin |
|
60 | 61 |
Suggests: |
61 | 62 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
62 | 63 |
biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -36,7 +36,7 @@ Description: This package provides a workflow for the use of EaSIeR tool, develo |
36 | 36 |
form four different cancer types with patients treated with anti-PD1 or anti-PDL1 therapy. |
37 | 37 |
License: MIT + file LICENSE |
38 | 38 |
Depends: |
39 |
- R (>= 4.1.0) |
|
39 |
+ R (>= 4.2.0) |
|
40 | 40 |
Imports: |
41 | 41 |
progeny, |
42 | 42 |
easierData, |
... | ... |
@@ -56,8 +56,7 @@ Imports: |
56 | 56 |
BiocParallel, |
57 | 57 |
reshape2, |
58 | 58 |
rstatix, |
59 |
- ggrepel, |
|
60 |
- coin |
|
59 |
+ ggrepel |
|
61 | 60 |
Suggests: |
62 | 61 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
63 | 62 |
biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -47,7 +47,7 @@ Imports: |
47 | 47 |
stats, |
48 | 48 |
graphics, |
49 | 49 |
ggplot2, |
50 |
- grid, |
|
50 |
+ ggpubr, |
|
51 | 51 |
DESeq2, |
52 | 52 |
utils, |
53 | 53 |
dplyr, |
... | ... |
@@ -64,5 +64,5 @@ biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, Ge |
64 | 64 |
VignetteBuilder: knitr |
65 | 65 |
Encoding: UTF-8 |
66 | 66 |
Roxygen: list(markdown = TRUE) |
67 |
-RoxygenNote: 7.1.2 |
|
67 |
+RoxygenNote: 7.2.1 |
|
68 | 68 |
Config/testthat/edition: 3 |
... | ... |
@@ -57,7 +57,8 @@ Imports: |
57 | 57 |
BiocParallel, |
58 | 58 |
reshape2, |
59 | 59 |
rstatix, |
60 |
- ggrepel |
|
60 |
+ ggrepel, |
|
61 |
+ coin |
|
61 | 62 |
Suggests: |
62 | 63 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
63 | 64 |
biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -60,10 +60,7 @@ Imports: |
60 | 60 |
ggrepel |
61 | 61 |
Suggests: |
62 | 62 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
63 |
-biocViews: |
|
64 |
- GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, |
|
65 |
- ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, |
|
66 |
- ExperimentHubSoftware |
|
63 |
+biocViews: GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, ExperimentHubSoftware |
|
67 | 64 |
VignetteBuilder: knitr |
68 | 65 |
Encoding: UTF-8 |
69 | 66 |
Roxygen: list(markdown = TRUE) |
... | ... |
@@ -61,7 +61,7 @@ Imports: |
61 | 61 |
Suggests: |
62 | 62 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
63 | 63 |
biocViews: |
64 |
- GeneExpression, Software, Transcription, SystemsBiology,Pathways, GeneSetEnrichment, |
|
64 |
+ GeneExpression, Software, Transcription, SystemsBiology, Pathways, GeneSetEnrichment, |
|
65 | 65 |
ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, |
66 | 66 |
ExperimentHubSoftware |
67 | 67 |
VignetteBuilder: knitr |
... | ... |
@@ -34,6 +34,7 @@ Description: This package provides a workflow for the use of EaSIeR tool, develo |
34 | 34 |
cancer-specific systems biomarkers of immune response. These biomarkers have been experimentally validated |
35 | 35 |
in the literature and the performance of EaSIeR predictions has been validated using independent datasets |
36 | 36 |
form four different cancer types with patients treated with anti-PD1 or anti-PDL1 therapy. |
37 |
+License: MIT + file LICENSE |
|
37 | 38 |
Depends: |
38 | 39 |
R (>= 4.1.0) |
39 | 40 |
Imports: |
... | ... |
@@ -59,12 +60,11 @@ Imports: |
59 | 60 |
ggrepel |
60 | 61 |
Suggests: |
61 | 62 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
62 |
-License: MIT + file LICENSE |
|
63 |
+biocViews: |
|
64 |
+ GeneExpression, Software, Transcription, SystemsBiology,Pathways, GeneSetEnrichment, |
|
65 |
+ ImmunoOncology, Epigenetics, Classification, BiomedicalInformatics, Regression, |
|
66 |
+ ExperimentHubSoftware |
|
67 |
+VignetteBuilder: knitr |
|
63 | 68 |
Encoding: UTF-8 |
64 | 69 |
Roxygen: list(markdown = TRUE) |
65 | 70 |
RoxygenNote: 7.1.2 |
66 |
-VignetteBuilder: knitr |
|
67 |
-biocViews: |
|
68 |
- GeneExpression, Software, Transcription, SystemsBiology,Pathways, |
|
69 |
- GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, |
|
70 |
- BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -56,12 +56,9 @@ Imports: |
56 | 56 |
BiocParallel, |
57 | 57 |
reshape2, |
58 | 58 |
rstatix, |
59 |
- ggrepel, |
|
60 |
- remotes |
|
59 |
+ ggrepel |
|
61 | 60 |
Suggests: |
62 | 61 |
knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
63 |
-Remotes: |
|
64 |
- olapuentesantana/easierData |
|
65 | 62 |
License: MIT + file LICENSE |
66 | 63 |
Encoding: UTF-8 |
67 | 64 |
Roxygen: list(markdown = TRUE) |
... | ... |
@@ -5,7 +5,7 @@ Authors@R: |
5 | 5 |
c( |
6 | 6 |
person( |
7 | 7 |
given = "Oscar", family = "Lapuente-Santana", role = c("aut", "cre"), |
8 |
- email = "oscar.lapuente.santana@gmail.com", comment = c(ORCID = "0000-0003-1995-8393") |
|
8 |
+ email = "o.lapuente.santana@tue.nl", comment = c(ORCID = "0000-0003-1995-8393") |
|
9 | 9 |
), |
10 | 10 |
person( |
11 | 11 |
given = "Federico", family = "Marini", role = "aut", |
... | ... |
@@ -58,14 +58,14 @@ Imports: |
58 | 58 |
rstatix, |
59 | 59 |
ggrepel, |
60 | 60 |
remotes |
61 |
+Suggests: |
|
62 |
+ knitr, rmarkdown, BiocStyle, testthat, SummarizedExperiment |
|
61 | 63 |
Remotes: |
62 | 64 |
olapuentesantana/easierData |
63 | 65 |
License: MIT + file LICENSE |
64 | 66 |
Encoding: UTF-8 |
65 | 67 |
Roxygen: list(markdown = TRUE) |
66 | 68 |
RoxygenNote: 7.1.2 |
67 |
-Suggests: |
|
68 |
- knitr, rmarkdown, BiocStyle, testthat |
|
69 | 69 |
VignetteBuilder: knitr |
70 | 70 |
biocViews: |
71 | 71 |
GeneExpression, Software, Transcription, SystemsBiology,Pathways, |
... | ... |
@@ -38,6 +38,7 @@ Depends: |
38 | 38 |
R (>= 4.1.0) |
39 | 39 |
Imports: |
40 | 40 |
progeny, |
41 |
+ easierData, |
|
41 | 42 |
dorothea, |
42 | 43 |
quantiseqr, |
43 | 44 |
ROCR, |
... | ... |
@@ -62,7 +63,6 @@ Remotes: |
62 | 63 |
olapuentesantana/easierData |
63 | 64 |
License: MIT + file LICENSE |
64 | 65 |
Encoding: UTF-8 |
65 |
-LazyData: true |
|
66 | 66 |
Roxygen: list(markdown = TRUE) |
67 | 67 |
RoxygenNote: 7.1.1 |
68 | 68 |
Suggests: |
... | ... |
@@ -5,7 +5,7 @@ Authors@R: |
5 | 5 |
c( |
6 | 6 |
person( |
7 | 7 |
given = "Oscar", family = "Lapuente-Santana", role = c("aut", "cre"), |
8 |
- email = "o.lapuente.santana@tue.nl", comment = c(ORCID = "0000-0003-1995-8393") |
|
8 |
+ email = "oscar.lapuente.santana@gmail.com", comment = c(ORCID = "0000-0003-1995-8393") |
|
9 | 9 |
), |
10 | 10 |
person( |
11 | 11 |
given = "Federico", family = "Marini", role = "aut", |
... | ... |
@@ -37,10 +37,27 @@ Description: This package provides a workflow for the use of EaSIeR tool, develo |
37 | 37 |
Depends: |
38 | 38 |
R (>= 4.1.0) |
39 | 39 |
Imports: |
40 |
- ROCR, grDevices, stats, graphics, ggplot2, |
|
41 |
- progeny, dorothea, quantiseqr, grid, DESeq2, |
|
42 |
- utils, dplyr, matrixStats, rlang, arules, |
|
43 |
- BiocParallel, reshape2, rstatix, ggrepel |
|
40 |
+ progeny, |
|
41 |
+ dorothea, |
|
42 |
+ quantiseqr, |
|
43 |
+ ROCR, |
|
44 |
+ grDevices, |
|
45 |
+ stats, |
|
46 |
+ graphics, |
|
47 |
+ ggplot2, |
|
48 |
+ grid, |
|
49 |
+ DESeq2, |
|
50 |
+ utils, |
|
51 |
+ dplyr, |
|
52 |
+ matrixStats, |
|
53 |
+ rlang, |
|
54 |
+ arules, |
|
55 |
+ BiocParallel, |
|
56 |
+ reshape2, |
|
57 |
+ rstatix, |
|
58 |
+ ggrepel |
|
59 |
+Remotes: |
|
60 |
+ saezlab/progeny |
|
44 | 61 |
License: MIT + file LICENSE |
45 | 62 |
Encoding: UTF-8 |
46 | 63 |
LazyData: true |
... | ... |
@@ -50,6 +67,6 @@ Suggests: |
50 | 67 |
knitr, rmarkdown, BiocStyle, testthat |
51 | 68 |
VignetteBuilder: knitr |
52 | 69 |
biocViews: |
53 |
- GeneExpression, Software, Transcription, Transcriptomics,Pathways, |
|
70 |
+ GeneExpression, Software, Transcription, SystemsBiology,Pathways, |
|
54 | 71 |
GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, |
55 | 72 |
BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -35,14 +35,12 @@ Description: This package provides a workflow for the use of EaSIeR tool, develo |
35 | 35 |
in the literature and the performance of EaSIeR predictions has been validated using independent datasets |
36 | 36 |
form four different cancer types with patients treated with anti-PD1 or anti-PDL1 therapy. |
37 | 37 |
Depends: |
38 |
- R (>= 4.0) |
|
38 |
+ R (>= 4.1.0) |
|
39 | 39 |
Imports: |
40 |
- progeny, ROCR, grDevices, stats, graphics, ggplot2, |
|
41 |
- grid, DESeq2, utils, dorothea, dplyr, matrixStats, |
|
42 |
- immunedeconv, rlang, arules, BiocParallel, reshape2, |
|
43 |
- rstatix, ggrepel |
|
44 |
-Remotes: |
|
45 |
- icbi-lab/immunedeconv |
|
40 |
+ ROCR, grDevices, stats, graphics, ggplot2, |
|
41 |
+ progeny, dorothea, quantiseqr, grid, DESeq2, |
|
42 |
+ utils, dplyr, matrixStats, rlang, arules, |
|
43 |
+ BiocParallel, reshape2, rstatix, ggrepel |
|
46 | 44 |
License: MIT + file LICENSE |
47 | 45 |
Encoding: UTF-8 |
48 | 46 |
LazyData: true |
... | ... |
@@ -13,11 +13,11 @@ Authors@R: |
13 | 13 |
), |
14 | 14 |
person( |
15 | 15 |
given = "Arsenij", family = "Ustjanzew", role = "aut", |
16 |
- email = "xx@yy.zz", comment = c(ORCID = "0000-0002-1014-4521") |
|
16 |
+ email = "arsenij.ustjanzew@uni-mainz.de", comment = c(ORCID = "0000-0002-1014-4521") |
|
17 | 17 |
), |
18 | 18 |
person( |
19 | 19 |
given = "Francesca", family = "Finotello", role = "aut", |
20 |
- email = "xx@yy.zz", comment = c(ORCID = "0000-0003-0712-4658") |
|
20 |
+ email = "francesca.finotello@i-med.ac.at", comment = c(ORCID = "0000-0003-0712-4658") |
|
21 | 21 |
), |
22 | 22 |
person( |
23 | 23 |
given = "Federica", family = "Eduati", role = "aut", |
... | ... |
@@ -21,7 +21,7 @@ Authors@R: |
21 | 21 |
), |
22 | 22 |
person( |
23 | 23 |
given = "Federica", family = "Eduati", role = "aut", |
24 |
- email = "xx@yy.zz", comment = c(ORCID = "0000-0002-7822-3867") |
|
24 |
+ email = "f.eduati@tue.nl", comment = c(ORCID = "0000-0002-7822-3867") |
|
25 | 25 |
) |
26 | 26 |
) |
27 | 27 |
Description: This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood |
... | ... |
@@ -37,27 +37,10 @@ Description: This package provides a workflow for the use of EaSIeR tool, develo |
37 | 37 |
Depends: |
38 | 38 |
R (>= 4.0) |
39 | 39 |
Imports: |
40 |
- progeny, |
|
41 |
- ROCR, |
|
42 |
- grDevices, |
|
43 |
- stats, |
|
44 |
- graphics, |
|
45 |
- ggplot2, |
|
46 |
- grid, |
|
47 |
- DESeq2, |
|
48 |
- utils, |
|
49 |
- dorothea, |
|
50 |
- dplyr, |
|
51 |
- matrixStats, |
|
52 |
- immunedeconv, |
|
53 |
- rlang, |
|
54 |
- arules, |
|
55 |
- BiocParallel, |
|
56 |
- reshape2, |
|
57 |
- rstatix, |
|
58 |
- ggrepel, |
|
59 |
- BiocGenerics, |
|
60 |
- Biobase |
|
40 |
+ progeny, ROCR, grDevices, stats, graphics, ggplot2, |
|
41 |
+ grid, DESeq2, utils, dorothea, dplyr, matrixStats, |
|
42 |
+ immunedeconv, rlang, arules, BiocParallel, reshape2, |
|
43 |
+ rstatix, ggrepel |
|
61 | 44 |
Remotes: |
62 | 45 |
icbi-lab/immunedeconv |
63 | 46 |
License: MIT + file LICENSE |
... | ... |
@@ -66,12 +49,9 @@ LazyData: true |
66 | 49 |
Roxygen: list(markdown = TRUE) |
67 | 50 |
RoxygenNote: 7.1.1 |
68 | 51 |
Suggests: |
69 |
- knitr, |
|
70 |
- rmarkdown, |
|
71 |
- BiocStyle, |
|
72 |
- testthat |
|
52 |
+ knitr, rmarkdown, BiocStyle, testthat |
|
73 | 53 |
VignetteBuilder: knitr |
74 | 54 |
biocViews: |
75 | 55 |
GeneExpression, Software, Transcription, Transcriptomics,Pathways, |
76 | 56 |
GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, |
77 |
- BiomedicalInformatics, Regression |
|
57 |
+ BiomedicalInformatics, Regression, ExperimentHubSoftware |
... | ... |
@@ -1,5 +1,5 @@ |
1 | 1 |
Package: easier |
2 |
-Title: Evaluate patient immune response to ICBs through a systems approach |
|
2 |
+Title: Estimate Systems Immune Response from RNA-seq data |
|
3 | 3 |
Version: 0.9.0 |
4 | 4 |
Authors@R: |
5 | 5 |
c( |
... | ... |
@@ -24,14 +24,20 @@ Authors@R: |
24 | 24 |
email = "xx@yy.zz", comment = c(ORCID = "0000-0002-7822-3867") |
25 | 25 |
) |
26 | 26 |
) |
27 |
-Description: This package allows researchers to assess patients' likelihood to respond to ICB therapies. |
|
28 |
- A machine learning model integrates patient transcriptomics data to gain insights into the |
|
29 |
- effect of ICBs on the patient immune response. TODO another sentence TODO. |
|
27 |
+Description: This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood |
|
28 |
+ to respond to ICB therapies providing just the patients' RNA-seq data as input. We integrate RNA-seq |
|
29 |
+ data with different types of prior knowledge to extract quantitative descriptors of the tumor |
|
30 |
+ microenvironment from several points of view, including composition of the immune repertoire, and |
|
31 |
+ activity of intra- and extra-cellular communications. Then, we use multi-task machine learning trained |
|
32 |
+ in TCGA data to identify how these descriptors can simultaneously predict several state-of-the-art |
|
33 |
+ hallmarks of anti-cancer immune response. In this way we derive cancer-specific models and identify |
|
34 |
+ cancer-specific systems biomarkers of immune response. These biomarkers have been experimentally validated |
|
35 |
+ in the literature and the performance of EaSIeR predictions has been validated using independent datasets |
|
36 |
+ form four different cancer types with patients treated with anti-PD1 or anti-PDL1 therapy. |
|
30 | 37 |
Depends: |
31 | 38 |
R (>= 4.0) |
32 | 39 |
Imports: |
33 | 40 |
progeny, |
34 |
- remotes, |
|
35 | 41 |
ROCR, |
36 | 42 |
grDevices, |
37 | 43 |
stats, |
... | ... |
@@ -43,7 +49,6 @@ Imports: |
43 | 49 |
dorothea, |
44 | 50 |
dplyr, |
45 | 51 |
matrixStats, |
46 |
- preprocessCore, |
|
47 | 52 |
immunedeconv, |
48 | 53 |
rlang, |
49 | 54 |
arules, |
... | ... |
@@ -40,7 +40,6 @@ Imports: |
40 | 40 |
grid, |
41 | 41 |
DESeq2, |
42 | 42 |
utils, |
43 |
- pdist, |
|
44 | 43 |
dorothea, |
45 | 44 |
dplyr, |
46 | 45 |
matrixStats, |
... | ... |
@@ -48,7 +47,10 @@ Imports: |
48 | 47 |
immunedeconv, |
49 | 48 |
rlang, |
50 | 49 |
arules, |
51 |
- BiocParallel |
|
50 |
+ BiocParallel, |
|
51 |
+ reshape2, |
|
52 |
+ rstatix, |
|
53 |
+ ggrepel |
|
52 | 54 |
Remotes: |
53 | 55 |
icbi-lab/immunedeconv |
54 | 56 |
License: MIT + file LICENSE |
... | ... |
@@ -4,8 +4,8 @@ Version: 0.9.0 |
4 | 4 |
Authors@R: |
5 | 5 |
c( |
6 | 6 |
person( |
7 |
- given = "Oscar", family = "Lapuente Santana", role = c("aut", "cre"), |
|
8 |
- email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
7 |
+ given = "Oscar", family = "Lapuente-Santana", role = c("aut", "cre"), |
|
8 |
+ email = "o.lapuente.santana@tue.nl", comment = c(ORCID = "0000-0003-1995-8393") |
|
9 | 9 |
), |
10 | 10 |
person( |
11 | 11 |
given = "Federico", family = "Marini", role = "aut", |
... | ... |
@@ -13,20 +13,22 @@ Authors@R: |
13 | 13 |
), |
14 | 14 |
person( |
15 | 15 |
given = "Arsenij", family = "Ustjanzew", role = "aut", |
16 |
- email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
16 |
+ email = "xx@yy.zz", comment = c(ORCID = "0000-0002-1014-4521") |
|
17 | 17 |
), |
18 | 18 |
person( |
19 | 19 |
given = "Francesca", family = "Finotello", role = "aut", |
20 |
- email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
20 |
+ email = "xx@yy.zz", comment = c(ORCID = "0000-0003-0712-4658") |
|
21 | 21 |
), |
22 | 22 |
person( |
23 | 23 |
given = "Federica", family = "Eduati", role = "aut", |
24 |
- email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
24 |
+ email = "xx@yy.zz", comment = c(ORCID = "0000-0002-7822-3867") |
|
25 | 25 |
) |
26 | 26 |
) |
27 | 27 |
Description: This package allows researchers to assess patients' likelihood to respond to ICB therapies. |
28 | 28 |
A machine learning model integrates patient transcriptomics data to gain insights into the |
29 | 29 |
effect of ICBs on the patient immune response. TODO another sentence TODO. |
30 |
+Depends: |
|
31 |
+ R (>= 4.0) |
|
30 | 32 |
Imports: |
31 | 33 |
progeny, |
32 | 34 |
remotes, |
... | ... |
@@ -54,10 +54,10 @@ Roxygen: list(markdown = TRUE) |
54 | 54 |
RoxygenNote: 7.1.1 |
55 | 55 |
Suggests: |
56 | 56 |
knitr, |
57 |
- rmarkdown |
|
57 |
+ rmarkdown, |
|
58 |
+ testthat |
|
58 | 59 |
VignetteBuilder: knitr |
59 | 60 |
biocViews: |
60 | 61 |
GeneExpression, Software, Transcription, Transcriptomics,Pathways, |
61 | 62 |
GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, |
62 | 63 |
BiomedicalInformatics, |
63 |
- |
... | ... |
@@ -1,16 +1,32 @@ |
1 | 1 |
Package: easier |
2 | 2 |
Title: Evaluate patient immune response to ICBs through a systems approach |
3 |
-Version: 1.0.3 |
|
3 |
+Version: 0.9.0 |
|
4 | 4 |
Authors@R: |
5 |
- person(given = "First", |
|
6 |
- family = "Last", |
|
7 |
- role = c("aut", "cre"), |
|
8 |
- email = "first.last@example.com", |
|
9 |
- comment = c(ORCID = "YOUR-ORCID-ID")) |
|
5 |
+ c( |
|
6 |
+ person( |
|
7 |
+ given = "Oscar", family = "Lapuente Santana", role = c("aut", "cre"), |
|
8 |
+ email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
9 |
+ ), |
|
10 |
+ person( |
|
11 |
+ given = "Federico", family = "Marini", role = "aut", |
|
12 |
+ email = "marinif@uni-mainz.de", comment = c(ORCID = "0000-0003-3252-7758") |
|
13 |
+ ), |
|
14 |
+ person( |
|
15 |
+ given = "Arsenij", family = "Ustjanzew", role = "aut", |
|
16 |
+ email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
17 |
+ ), |
|
18 |
+ person( |
|
19 |
+ given = "Francesca", family = "Finotello", role = "aut", |
|
20 |
+ email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
21 |
+ ), |
|
22 |
+ person( |
|
23 |
+ given = "Federica", family = "Eduati", role = "aut", |
|
24 |
+ email = "xx@yy.zz", comment = c(ORCID = "xxxxx") |
|
25 |
+ ) |
|
26 |
+ ) |
|
10 | 27 |
Description: This package allows researchers to assess patients' likelihood to respond to ICB therapies. |
11 | 28 |
A machine learning model integrates patient transcriptomics data to gain insights into the |
12 |
- effect of ICBs on the patient immune response. |
|
13 |
-Depends: R (>= 4.0) |
|
29 |
+ effect of ICBs on the patient immune response. TODO another sentence TODO. |
|
14 | 30 |
Imports: |
15 | 31 |
progeny, |
16 | 32 |
remotes, |
... | ... |
@@ -19,11 +35,11 @@ Imports: |
19 | 35 |
stats, |
20 | 36 |
graphics, |
21 | 37 |
ggplot2, |
38 |
+ grid, |
|
22 | 39 |
DESeq2, |
23 | 40 |
utils, |
24 | 41 |
pdist, |
25 | 42 |
dorothea, |
26 |
- viper, |
|
27 | 43 |
dplyr, |
28 | 44 |
matrixStats, |
29 | 45 |
preprocessCore, |
... | ... |
@@ -44,3 +60,4 @@ biocViews: |
44 | 60 |
GeneExpression, Software, Transcription, Transcriptomics,Pathways, |
45 | 61 |
GeneSetEnrichment, ImmunoOncology, Epigenetics, Classification, |
46 | 62 |
BiomedicalInformatics, |
63 |
+ |
... | ... |
@@ -11,11 +11,6 @@ Description: This package allows researchers to assess patients' likelihood to r |
11 | 11 |
A machine learning model integrates patient transcriptomics data to gain insights into the |
12 | 12 |
effect of ICBs on the patient immune response. |
13 | 13 |
Depends: R (>= 4.0) |
14 |
-License: MIT + file LICENSE |
|
15 |
-Encoding: UTF-8 |
|
16 |
-LazyData: true |
|
17 |
-Roxygen: list(markdown = TRUE) |
|
18 |
-RoxygenNote: 7.1.1 |
|
19 | 14 |
Imports: |
20 | 15 |
progeny, |
21 | 16 |
remotes, |
... | ... |
@@ -33,3 +28,8 @@ Imports: |
33 | 28 |
matrixStats, |
34 | 29 |
preprocessCore, |
35 | 30 |
arules |
31 |
+License: MIT + file LICENSE |
|
32 |
+Encoding: UTF-8 |
|
33 |
+LazyData: true |
|
34 |
+Roxygen: list(markdown = TRUE) |
|
35 |
+RoxygenNote: 7.1.1 |
... | ... |
@@ -10,7 +10,7 @@ Authors@R: |
10 | 10 |
Description: This package allows researchers to assess patients' likelihood to respond to ICB therapies. |
11 | 11 |
A machine learning model integrates patient transcriptomics data to gain insights into the |
12 | 12 |
effect of ICBs on the patient immune response. |
13 |
-Depends: R (>= 4.0), progeny, viper, DESeq2, ROCR, ggplot2, dorothea, preprocessCore, pdist, arules |
|
13 |
+Depends: R (>= 4.0) |
|
14 | 14 |
License: MIT + file LICENSE |
15 | 15 |
Encoding: UTF-8 |
16 | 16 |
LazyData: true |
... | ... |
@@ -31,4 +31,5 @@ Imports: |
31 | 31 |
viper, |
32 | 32 |
dplyr, |
33 | 33 |
matrixStats, |
34 |
- preprocessCore |
|
34 |
+ preprocessCore, |
|
35 |
+ arules |
... | ... |
@@ -11,8 +11,7 @@ Description: This package allows researchers to assess patients' likelihood to r |
11 | 11 |
A machine learning model integrates patient transcriptomics data to gain insights into the |
12 | 12 |
effect of ICBs on the patient immune response. |
13 | 13 |
Depends: R (>= 4.0), progeny, viper, DESeq2, ROCR, ggplot2, dorothea, preprocessCore, pdist, arules |
14 |
-License: `use_mit_license()`, `use_gpl3_license()` or friends to |
|
15 |
- pick a license |
|
14 |
+License: MIT + file LICENSE |
|
16 | 15 |
Encoding: UTF-8 |
17 | 16 |
LazyData: true |
18 | 17 |
Roxygen: list(markdown = TRUE) |
1 | 1 |
new file mode 100644 |
... | ... |
@@ -0,0 +1,35 @@ |
1 |
+Package: easier |
|
2 |
+Title: Evaluate patient immune response to ICBs through a systems approach |
|
3 |
+Version: 1.0.3 |
|
4 |
+Authors@R: |
|
5 |
+ person(given = "First", |
|
6 |
+ family = "Last", |
|
7 |
+ role = c("aut", "cre"), |
|
8 |
+ email = "first.last@example.com", |
|
9 |
+ comment = c(ORCID = "YOUR-ORCID-ID")) |
|
10 |
+Description: This package allows researchers to assess patients' likelihood to respond to ICB therapies. |
|
11 |
+ A machine learning model integrates patient transcriptomics data to gain insights into the |
|
12 |
+ effect of ICBs on the patient immune response. |
|
13 |
+Depends: R (>= 4.0), progeny, viper, DESeq2, ROCR, ggplot2, dorothea, preprocessCore, pdist, arules |
|
14 |
+License: `use_mit_license()`, `use_gpl3_license()` or friends to |
|
15 |
+ pick a license |
|
16 |
+Encoding: UTF-8 |
|
17 |
+LazyData: true |
|
18 |
+Roxygen: list(markdown = TRUE) |
|
19 |
+RoxygenNote: 7.1.1 |
|
20 |
+Imports: |
|
21 |
+ progeny, |
|
22 |
+ remotes, |
|
23 |
+ ROCR, |
|
24 |
+ grDevices, |
|
25 |
+ stats, |
|
26 |
+ graphics, |
|
27 |
+ ggplot2, |
|
28 |
+ DESeq2, |
|
29 |
+ utils, |
|
30 |
+ pdist, |
|
31 |
+ dorothea, |
|
32 |
+ viper, |
|
33 |
+ dplyr, |
|
34 |
+ matrixStats, |
|
35 |
+ preprocessCore |