Why do I need to use the 'if __name__ == "__main__":' guard?

Because Arboreto uses Dask for parallel processing, which spawns new processes; this guard prevents recursive process creation and errors during execution.

Can I use Arboreto for single-cell RNA-seq data?

Yes, Arboreto is highly optimized for single-cell data and is a core component of the pySCENIC pipeline for identifying regulons and activity scores.

What is the difference between GRNBoost2 and GENIE3?

GRNBoost2 is based on gradient boosting and is significantly faster, making it the preferred choice for large datasets, while GENIE3 uses the classic Random Forest approach.

Does this skill support distributed computing?

Absolutely. It integrates with Dask to scale inference tasks from local multi-core machines to remote high-performance computing clusters.

Arboreto GRN Inference

Name: Arboreto GRN Inference
Author: Microck

byMicrock

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数据科学与机器学习

Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.

Arboreto is a specialized computational tool for reconstructing gene regulatory networks (GRNs) from high-throughput gene expression data such as bulk or single-cell RNA-seq. It leverages high-performance algorithms like GRNBoost2 and GENIE3 to identify transcription factor-target gene relationships, scaling efficiently from local machines to distributed clusters via Dask. This skill is indispensable for bioinformaticians and researchers needing to map complex regulatory interactions in genomic datasets without being limited by computational bottlenecks or manual scripting overhead.

主要功能

0181 GitHub stars

02Transcription factor (TF) filtering to refine regulatory target mapping

03Ready-to-run Python scripts and best practices for reproducible research

04Support for distributed computing via Dask for massive datasets

05Specialized workflows for single-cell and bulk RNA-seq analysis

06Scalable GRN inference using GRNBoost2 and GENIE3 algorithms

使用场景

01Mapping cell-type-specific regulatory networks from single-cell transcriptomics

02Scaling regulatory network inference to multi-node cluster environments

03Identifying candidate transcription factors driving disease-specific gene expression

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills arboreto

For use in Claude.ai and ChatGPT

Download Skill