Browse code

new css and ui updates in dashboard

pablo-rodr-bio2 authored on 17/05/2021 18:01:04
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@@ -1,13 +1,5 @@
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 Package: GSVA
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-<<<<<<< HEAD
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-<<<<<<< HEAD
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-Version: 1.39.31
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-=======
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-Version: 1.39.30
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->>>>>>> beautifying UI
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-=======
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 Version: 1.39.32
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->>>>>>> new css changes in dashboard
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 Title: Gene Set Variation Analysis for microarray and RNA-seq data
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 Authors@R: c(person("Justin", "Guinney", role=c("aut", "cre"), email="justin.guinney@sagebase.org"),
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              person("Robert", "Castelo", role="aut", email="robert.castelo@upf.edu"),
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@@ -19,7 +11,7 @@ Imports: methods, stats, utils, graphics, S4Vectors, IRanges,
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          BiocParallel, SingleCellExperiment, sparseMatrixStats, DelayedArray,
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          DelayedMatrixStats, HDF5Array, BiocSingular
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 Suggests: BiocGenerics, RUnit, BiocStyle, knitr, rmarkdown, limma, RColorBrewer,
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-          org.Hs.eg.db, genefilter, edgeR, GSVAdata, shiny, shinydashboard, ggplot2,
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+          org.Hs.eg.db, genefilter, edgeR, GSVAdata, shiny, shinythemes, ggplot2,
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           data.table, plotly, future, promises, shinybusy, shinyjs
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 Description: Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene-set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner.
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 License: GPL (>= 2)
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@@ -16,13 +16,13 @@
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   margin: 5px 5px 5px 5px;
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 }
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-#matrix1-matrix-input, #genes1-genesets-input {
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+#matrix1-matrix-input, #genes1-genesets-input, #arg {
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   background-color: #708090;
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   border-radius: 15px;
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   padding-bottom: 5px;
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 }
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-#matrix1-matrixSourceType-label, #genes1-genesetSourceType-label {
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+#matrix1-matrixSourceType-label, #genes1-genesetSourceType-label, #arg-label {
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   background-color: #6495ED;
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   display: inline-block;
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   text-align: center;
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@@ -30,12 +30,6 @@
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   border-radius: 15px;
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 }
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-#arg {
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-  background-color: #708090;
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-  border-radius: 15px;
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-	padding: 12px 15px 12px 15px;
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-}
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-
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 #args-well {
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   background: #708090;
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   color: white;
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@@ -75,7 +69,7 @@
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 .run-btn {
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   color: #fff; 
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-  background-color: #6495ED;
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+  background-color: #8A2BE2;
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   font-weight: bold;
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   border-color: #fff;
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   padding: 5px 5px 5px 5px;