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).

IndexedBSD-3-Clause license

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: BSD-3-Clause license
Metadata: version: 1.0 · skill-author: K-Dense Inc.
Instructions: 260 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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Open issues: 0
Last commit (this folder): Jun 1, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version: 1.0
License: BSD-3-Clause license
Repository: github.com/PROgram52bc/agent_skills
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

Same skill elsewhere

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