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kreview
kreview には msk-access から収集した 10 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Testing conventions, patterns, and best practices for kreview. MANDATORY reading before adding or modifying tests.
nbdev cell directives, module export conventions, editing workflow, and testing patterns for notebook-first development. MANDATORY reading before editing any kreview Python module.
5-tier ctDNA labeling hierarchy with IMPACT tissue rescue, CH hotspot filtering, configurable VAF/variant thresholds, and continuous VAF regression stats.
How to parse cBioPortal MAF, SV, CNA, and clinical files for the labeling pipeline.
Structured debugging framework for kreview data pipeline issues
DuckDB glob scan patterns, connection management, and performance for kreview
cfDNA fragmentomics biology — what each feature measures and how to interpret it for ctDNA detection.
Git workflow conventions, conventional commits, and PR patterns for kreview
How to load krewlyzer parquet feature files with correct suffixes and schemas per feature type.
scikit-learn patterns for single-feature LR and RF evaluation with cross-validation and AUC scoring.