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By k-dense-ai

depmap

k-dense-ai1.7k installs

Turn cancer screening data into target hypotheses.

What it does

Analyzes release-matched cancer screening data to rank gene dependencies and generate biomarker, co-essentiality, and drug-response hypotheses.

When to use it

Use to rank cancer-model dependencies, compare prespecified biomarker cohorts, inspect co-essentiality, or relate genetic dependencies to PRISM compound response.

How to use it

Give it a cancer-dependency analysis question; it produces analysis outputs accompanied by release metadata, retrieval details, checksums, and source documentation.

Uses

Latest review

What you need · 4

Requires Python 3.10 or newer for the bundled analysis helpers.

Requires numpy for the bundled helpers.

Requires pandas for the bundled helpers.


Access · 1

This skill

DepMap

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Retrieves DepMap releases and data