Data Science & Analytics

Bio Machine Learning Omics Classifiers

name: bio-machine-learning-omics-classifiers description: Builds classification models for omics data using RandomForest, XGBoost, and logistic regression with sklearn-compatible APIs. Includes proper preprocessing and evaluation metrics for biomarker classifiers. Use when building diagnostic or prognostic classifiers from expression or variant data. tool_type: python primary_tool: sklearn measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

Publisher / source

FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)

Upstream record

FreedomIntelligence/OpenClaw-Medical-Skills

Version

Version 1

Published

2026-11-06

Publication review

Approved for publication · recorded passed scan 2026-11-06

Content fingerprint

f4385e0e7d7c99a91edec33aeef5d3647b1db2bf98bf150436a9d607f438dc25