Geniml: Genomic Interval Machine Learning

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

Source: github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/geniml · License: MIT