home/categories/bioinformatics/wu-yc-labclaw-skills-bio-geniml-skill-md
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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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wu-yc
Actualizado 3/6/2026
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quick start

Installation and usage

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.

Instalación
$ install --globalskills.sh
Uso

Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:

skills use geniml