For the complete documentation index, see llms.txt. This page is also available as Markdown.

Explore a cohort

What to do: Start by asking K Pro about a cohort's composition to understand what's available before diving into specifics. Always specify the exact TCGA cohort code (e.g., TCGA-BRCA, TCGA-LUAD) rather than the disease name alone.

Which agent/skill: MultiOmics Agent

Example prompt:

Provide clinical characteristics of the TCGA-BRCA cohort. Include the distribution of tumor stage and age at diagnosis.

Expected result: Summary tables and/or distributions showing the clinical breakdown of the TCGA-BRCA cohort.

A-S-R-T-C breakdown: Show [A] clinical characteristics [S: cohort variables] at bulk level [R] as summary tables [T] in TCGA-BRCA [C].

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