geniml
CommunityGenomic region embeddings at scale.
Authorjackspace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Geniml provides tooling for learning embeddings from genomic interval data (BED files), enabling region-level ML, scATAC-seq analyses, and universe-building for tokenization.
Core Features & Use Cases
- Region2Vec embeddings for genomic regions
- BEDspace for region + metadata embeddings
- scEmbed for single-cell ATAC-seq analyses
- Universe genesis (consensus peaks) and tokenization utilities
- Utilities for caching, evaluation, and search
Quick Start
- Tokenize BED files, train region embeddings, and evaluate on a metadata set
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: geniml Download link: https://github.com/jackspace/ClaudeSkillz/archive/main.zip#geniml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.