Plot gProfileR Barplot
Make a barplot of the top biological factors enriched by g:ProfileR.
plotBP(ordered_back_all, top_bp = 10)
ordered_back_all
: Output of the g:ProfileR function.top_bp
: The number of pathways you want to plot.plotBP
A barplot of the number of "top_bp" pathways, ranked by -log10(Pfdr).
This function takes a gProfileR output and prints the top "top_bp" most significantly enriched FDR adjusted p-values before plotting the rank of their p-values.
data(POA_example) POA_generes <- POA_example$POA_generes POA_OR_signature <- POA_example$POA_OR_signature POA_Rank_signature <- POA_example$POA_Rank_signature Signature <- as.data.frame(POA_Rank_signature) rowname <- get_gene_symbol(Signature) rownames(Signature) <- rowname$rowname ordered_back_all <- gprofiler2::gost(query = rowname$rowname[1:100], organism = "mmusculus", ordered_query = TRUE, significant = TRUE, exclude_iea = FALSE, multi_query = FALSE, measure_underrepresentation = FALSE, evcodes = FALSE, user_threshold = 0.05, correction_method = "fdr", numeric_ns = "", sources = c("GO:BP", "KEGG", "REAC")) ordered_back_all <- ordered_back_all$result ordered_back_all <- ordered_back_all[ordered_back_all$term_size > 15 & ordered_back_all$term_size < 2000 & ordered_back_all$intersection_size > 2,] ordered_back_all_tf <- gprofiler2::gost(query = rowname$rowname[1:150], organism = "mmusculus", ordered_query = TRUE, significant = TRUE, exclude_iea = FALSE, multi_query = FALSE, measure_underrepresentation = FALSE, evcodes = FALSE, user_threshold = 0.05, correction_method = "fdr", numeric_ns = "", sources = c("TF")) ordered_back_all_tf <- ordered_back_all_tf$result ordered_back_all_tf <- ordered_back_all_tf[ordered_back_all_tf$term_size > 15 & ordered_back_all_tf$term_size < 5000 & ordered_back_all_tf$intersection_size > 2,] TF = ordered_back_all_tf BP <- ordered_back_all bp <- plotBP(ordered_back_all = BP) tf <- make_TF_barplot(ordered_back_all_tf = TF)