various updates

d3b-center · Sep 17, 2024 · 4de25fe · 4de25fe
1 parent 903cc8a
commit 4de25fe
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Showing 4 changed files with 17 additions and 19 deletions.
diff --git a/analyses/dge_pathway_analysis/01-dge_analysis_deseq.R b/analyses/dge_pathway_analysis/01-dge_analysis_deseq.R
@@ -55,15 +55,6 @@ expr_mat <- expr_mat %>%
   dplyr::select(mm_clusters$sample_id)
 stopifnot(identical(colnames(expr_mat), mm_clusters$sample_id))
 
-# use DCGA to filter out low count, low variance features
-expr_mat <- DGCA::filterGenes(
-  inputMat = expr_mat,
-  filterTypes = c("central", "dispersion"),
-  filterDispersionType = "cv",
-  filterDispersionPercentile = 0.2,
-  sequential = TRUE
-)
-
 # use a for-loop
 clusters <- unique(mm_clusters$mm_cluster)
 output_df <- data.frame()

diff --git a/analyses/dge_pathway_analysis/run_analysis.sh b/analyses/dge_pathway_analysis/run_analysis.sh
@@ -11,7 +11,7 @@ script_directory="$(perl -e 'use File::Basename;
 cd "$script_directory" || exit
 
 # Define directory and input files
-data_dir="../../data"
+data_dir="/sbgenomics/project-files/opc-v15"
 gtf_file="${data_dir}/v15/gencode.v39.primary_assembly.annotation.gtf.gz"
 count_file="${data_dir}/v15/gene-counts-rsem-expected_count-collapsed.rds"
 cluster_file="../intNMF/results/intnmf_clusters.tsv"

diff --git a/analyses/methylation_analysis/01-limma_analysis.R b/analyses/methylation_analysis/01-limma_analysis.R
@@ -21,10 +21,15 @@ output_dir <- opt$output_dir
 dir.create(output_dir, showWarnings = F, recursive = T)
 
 # read m-values
-methyl_m_values_full <- readRDS(opt$methyl_mat)
+methyl_m_values_full <- readRDS(opt$methyl_mat) %>%
+  dplyr::mutate('Probe_ID' = make.names(Probe_ID)) %>%
+  unique(by = 'Probe_ID') %>%
+  tibble::column_to_rownames('Probe_ID')
 
 # read annotation
-methyl_annot_full <- data.table::fread(opt$methyl_annot)
+methyl_annot_full <- data.table::fread(opt$methyl_annot) %>%
+  dplyr::mutate('Probe_ID' = make.names(Probe_ID)) %>%
+  unique(by = 'Probe_ID')
 
 # create generalized function for gene feature analysis
 run_analysis <- function(methyl_m_values_full,
@@ -33,7 +38,7 @@ run_analysis <- function(methyl_m_values_full,
                          prefix) {
   # filter only to gene feature using probe annotation file
   methyl_annot <- methyl_annot_full %>%
-    filter(Gene_Feature %in% gene_feature_filter) %>%
+    dplyr::filter(Gene_Feature %in% gene_feature_filter) %>%
     unique()
   methyl_m_values <- methyl_m_values_full %>%
     filter(rownames(methyl_m_values_full) %in% methyl_annot$Probe_ID)
@@ -78,8 +83,8 @@ run_analysis <- function(methyl_m_values_full,
     # differentially expressed probes
     toptable_output <- limma::topTable(fit.reduced, coef = 2, n = Inf)
     sigCpGs <- toptable_output %>%
-      filter(adj.P.Val < 0.05) %>%
-      mutate(cluster = clusters[i]) %>%
+      dplyr::filter(adj.P.Val < 0.05) %>%
+      dplyr::mutate(cluster = clusters[i]) %>%
       rownames_to_column("probes")
     print(head(sigCpGs))
 

diff --git a/analyses/methylation_analysis/run_analysis.sh b/analyses/methylation_analysis/run_analysis.sh
@@ -10,12 +10,14 @@ script_directory="$(perl -e 'use File::Basename;
   print dirname(abs_path(@ARGV[0]));' -- "$0")"
 cd "$script_directory" || exit
 
+echo "R_MAX_VSIZE=100Gb" > .Renviron
+
 # Define directory and input files
-data_subset="../data_preparation/data"
-count_file="${data_subset}/gene-counts-rsem-expected_count-collapsed.rds"
-methyl_m_file="${data_subset}/methyl-m-values.rds" 
+data_dir="/sbgenomics/project-files/opc-v15"
+count_file="${data_dir}/v15/gene-counts-rsem-expected_count-collapsed.rds"
+methyl_m_file="${data_dir}/v15/methyl-m-values.rds" 
 cluster_file="../intNMF/results/intnmf_clusters.tsv"
-methyl_annot_file="../../data/v15/infinium.gencode.v39.probe.annotations.tsv.gz"
+methyl_annot_file="${data_dir}/v15/infinium.gencode.v39.probe.annotations.tsv.gz"
 
 # 1) limma analysis to identify differentially expressed CpG sites
 Rscript --vanilla 01-limma_analysis.R \