How to Run Pathway Analysis on Your Own RNA-Seq Data
A practical guide to turning an RNA-seq counts matrix into a ranked pathway table, with fgsea and g:Profiler run correctly.
4 posts
A practical guide to turning an RNA-seq counts matrix into a ranked pathway table, with fgsea and g:Profiler run correctly.
A working guide to gene set enrichment analysis on personal RNA-seq: building a defensible ranked list with DESeq2, running fgsea against MSigDB, reading the enrichment plot, and using GSVA when you have no contrast.
A step-by-step guide to taking a protein abundance matrix, building a defensible ranking statistic, and running over-representation and rank-based enrichment in R, including how to read a negative enrichment score.
A practical guide to Gene Ontology analysis of RNA-seq: building a defensible gene list, correcting for length and expression bias, running overrepresentation tests and GSEA in R, and collapsing redundant terms into something you can read.