TCGA Expression Map is an interactive resource for exploring RNA-seq differential expression across 24 human cancer types, covering 42,461 human genes from the TCGA (The Cancer Genome Atlas) study. This dataset includes RNA-seq data from more than 10,000 cancer patients across multiple tumor types. After careful preprocessing, we performed differential expression analysis using standard differential expression methods, comparing case vs. control samples for each cancer type to generate reliable log2 fold change (log2FC) values.
Users can input a single gene or a custom gene list to view log2FC values across all cancer types, and generate a downloadable heatmap of expression differences. The tool also supports user-provided log2FC tables, which can be integrated with TCGA results for side-by-side visualization. In addition, for any entered gene list, the tool provides KEGG pathway analysis and GO enrichment analysis (Biological Process, Molecular Function, and Cellular Component), along with corresponding plots and downloadable data.
This makes TCGA Expression Map a comprehensive platform for visualizing human gene expression patterns, comparing case–control differences, and uncovering functional insights across diverse human cancers.