Normalize and transform RNA-seq count matrices for differential expression, visualization, and clustering. Covers between-sample (TMM, RLE, upper quartile), within-sample (TPM, FPKM), variance-stabilizing (VST, rlog), and single-cell (scran) methods. Use when choosing or applying normalization to expression data.
