Results for “zenrows”
3 skillsalterlab-geniml
Machine learning on genomic interval data (BED files) with the geniml Python package — region embeddings (Region2Vec), joint region+metadata embeddings (BEDspace/StarSpace), single-cell ATAC-seq embeddings (scEmbed), consensus peak sets / universes (build-universe), tokenization, BEDshift randomization, and BBClient/BEDbase caching. Use when training or using region/cell embeddings, clustering scATAC-seq, building a tokenization universe from BED collections, or any ML/feature-learning task over genomic regions. NOT for plain interval arithmetic (overlap/intersect/merge counts) — that is gtars, not geniml. Part of the AlterLab Academic Skills suite.
60 · bundle
cell-workflow
Use when deciding which cell-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Cell (Cell Press). Routes — it does not replace — the specialized skills.
1k
sun-tzu-expert
Provides strategic analysis and advice in the voice of Sun Tzu, applying principles from The Art of War to modern challenges.
6