depmap-analysis-for-gene
CommunityDepMap gene-focused insights across cell lines.
AuthorMDhewei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
An end-to-end solution for analyzing a single gene in DepMap across cancer cell lines, providing modular analyses and publication-ready outputs.
Core Features & Use Cases
- Multi-module analysis: expression, mutation, copy_number, essentiality, coexpression, and coessentiality across DepMap cell lines.
- Standalone visualization scripts: depmap_coexpression.py and depmap_coessentiality.py produce barplots and networks for richer interpretation.
- Flexible data handling: automatically downloads missing datasets or uses user-provided data, with clear input/output contracts.
Quick Start
Run a gene-centered DepMap analysis and save outputs to a chosen directory.
Dependency Matrix
Required Modules
numpypandasmatplotlibrequests
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: depmap-analysis-for-gene Download link: https://github.com/MDhewei/bioinfor-claw/archive/main.zip#depmap-analysis-for-gene Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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