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.
Use this skill when the task matches the description above or the source path clearly applies. Start with this concise entrypoint; open ../../../../../skills/by-category/science-research-data-analysis/latest-release-community/geniml/SKILL.md only when implementation details, commands, assets, or references are needed.
AGENTS.md; use one AI session only.../../../../../skills/by-category/science-research-data-analysis/latest-release-community/geniml/SKILL.mdeb20fb0dcb0b1dadaa3db2737188f0755bbc4770docs/benchmark-results.md0skill-proof-k-dense-ai-scientific-agent-skills-scientific-skills-geniml-skill-md, , , science-research-and-data-analysis-cellxgene-censusscience-research-and-data-analysis-chemblscience-research-and-data-analysis-ome-ngff-samplesDo not claim this skill passed a runtime benchmark until a validated artifact exists.