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 (universe
- Skills
- Scientific
- 8
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/geniml && curl -fsSL https://doutorai.pt/data/lib/skills__geniml.md -o .claude/skills/geniml/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: geniml
description: 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.
---
# Geniml: Genomic Interval Machine Learning
## Overview
Geniml is a Python package for building machine learning models on genomic interval data fr
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
Ask Dr AI - it explains things simply.
Need a tailor-made solution?
Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.
Save hours every week with AI, no hassle
Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.