skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-03-27 07:09:27 +08:00
Code Issues Packages Projects Releases Wiki Activity

Improve package descriptions

Browse Source
This commit is contained in:
Timothy Kassis
2025-10-20 16:19:48 -07:00
parent 04087666b7
commit df81c94a7a
36 changed files with 36 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
scientific-packages/arboreto/SKILL.md
View File

@@ -1,6 +1,6 @@
---
name: arboreto
description: Toolkit for gene regulatory network (GRN) inference from expression data using machine learning. Use this skill when working with gene expression matrices to infer regulatory relationships, performing single-cell RNA-seq analysis, or integrating with pySCENIC workflows. Supports both GRNBoost2 (fast gradient boosting) and GENIE3 (Random Forest) algorithms with distributed computing via Dask.
description: Python toolkit for gene regulatory network (GRN) inference from gene expression data using machine learning algorithms. Use this skill for inferring transcription factor-target gene relationships, analyzing single-cell RNA-seq data, building regulatory networks, performing GRN inference from expression matrices, working with GRNBoost2 and GENIE3 algorithms, setting up distributed computing with Dask, integrating with pySCENIC workflows, comparing GRN inference methods, troubleshooting arboreto installation issues, handling large-scale genomic data analysis, and performing reproducible regulatory network analysis. Supports both GRNBoost2 (fast gradient boosting) and GENIE3 (Random Forest) algorithms with distributed computing capabilities via Dask for scalable analysis from single machines to multi-node clusters.
---
# Arboreto - Gene Regulatory Network Inference