Data Science & Analytics

Geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

Publisher / source
davila7/claude-code-templates (found on skills.sh)
Upstream record
davila7/claude-code-templates
Version
Version 3
Published
Publication review
Approved for publication
Content fingerprint
87aa6a1cc63da8b475a800ad417304eb8578c6a08ae50ee7454aa3737e959913