arboreto

github:K-Dense-AI/claude-scientific-skills · first committed 2026-05-27 · source · badge

Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3. Use for transcription factor-target association ranking, compatible Dask execution, sparse expression inputs, and network stability checks.

Skill Health 100 (freshness and quality) estimated by backskills

Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Freshness 100 · Quality 100 · Efficacy not yet tested

Version history

6 commits to this file on GitHub (newest first).

2026-10-01 · commit a92663a · Updatea all skills to lates API endpoints, packages and docs
2026-09-30 · commit ce9e6e9 · Update skill versions and enhance documentation across multiple skills
2026-09-02 · commit 1e5eeff · Update version numbers and enhance skill documentation
2026-07-26 · commit b085e11 · Update skill metadata formatting and improve .gitignore entries
2026-06-11 · commit 1b8fae3 · Support OpenClaw
2026-05-27 · commit 0936740 · Update directory

Archived snapshots

archived 2026-10-31T09:00:36+00:00 · sha256 38ff6f24b8fd