@k-dense-ai/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.
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No demos yet. To add one, ask your AI agent: "Submit a demo for @k-dense-ai/geniml" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @k-dense-ai/geniml"
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