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Dataset
Registered biodata-registry dataset (expression datasets only — DNA/proteomics/single-cell/spatial ids are hidden because this agent cannot analyze them; typing one still gets a worded refusal). Type to search — the list matches on cohort name, author, year and id, so 'moffitt', 'bailey', 'survival' or 'tcga' all narrow it. The Sears/BCC cohort leads, and each cohort's quantification variants are grouped together. Entries marked ⚠ are raw counts: PurIST, GSVA and the charts need per-gene-comparable values, so those refuse with an explanation and the label names the sibling to use instead. Normalized / log-scale inputs (VST, TMM, microarray) run with a caution.
Quantification
Same samples, different processing. Which one is right depends on the analysis: TPM/TMM/VST run here; raw counts are refused (use DecoupleRpy for count-based DE). The cohort's usable variant is preselected.