This entry duplicates arboreto, which is the one we list in search.

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3).

IndexedNOASSERTION★ 55

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

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.

Use cases: data

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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

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: GitHub github-graphql

Same skill elsewhere

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arboreto skill. Agent Mart. https://agentmart.dev/skills/ovachiever-arboreto (last updated 2026-10-24)