arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3).
Skill by ovachiever
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: data
Reviews
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What's inside
- Skill name
arboreto- Description
- Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
- License
- NOASSERTION
- Instructions
- 234 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (5)
- SKILL.md
- algorithms.md · references/
- basic_inference.md · references/
- distributed_computing.md · references/
- basic_grn_inference.py · scripts/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 55
- Forks
- 5
- Open issues
- 1
- Last commit (this folder)
- Nov 24, 2025 (11 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/ovachiever/droid-tings
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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arboreto skill. Agent Mart. https://agentmart.dev/skills/ovachiever-arboreto (last updated 2026-10-24)