Bulk Transcriptomics
Counts → differential expression → enrichment → networks. Where most people start.
Lessons
01-01 · DESeq2 Differential Expression
Differential expression from raw counts with DESeq2 — the classic entry workflow.
01-02 · DE — Auto Method Selection
Unsure which DE method? It picks based on your data.
01-03 · Functional Enrichment
Turn a DE gene list into pathways and GO terms with clusterProfiler.
01-04 · Omics Clustering
Cluster samples or genes to find subtypes, with rigorous k-selection.
01-05 · Co-expression Network
Build a co-expression network; find modules and hub genes.