arboreto-grn-inference

Community

Infer gene regulatory networks

Authorjaechang-hits
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the inference of gene regulatory networks (GRNs) from gene expression data, helping researchers understand complex biological systems.

Core Features & Use Cases

  • GRN Inference: Uses GRNBoost2 or GENIE3 algorithms to identify transcription factor-target gene relationships.
  • Scalability: Dask-parallelized for efficient processing of large single-cell RNA-seq datasets.
  • Use Case: Analyze gene expression data to discover key regulatory pathways controlling cellular processes, essential for drug discovery and systems biology.

Quick Start

Infer a gene regulatory network from the expression data in 'expression_data.tsv' using the transcription factors listed in 'tf_list.txt'.

Dependency Matrix

Required Modules

arboretopandasnumpydaskdistributedscikit-learnscipynetworkxmatplotlibanndata

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: arboreto-grn-inference
Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#arboreto-grn-inference

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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