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SKILL

arboreto

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/arboreto
Use with an agent

SUMMARY

What it does

Arboreto is a Python library for inferring gene regulatory networks (GRNs) from gene expression data. It provides scalable algorithms GRNBoost2 and GENIE3, and supports distributed computation via Dask for large-scale datasets. The skill includes guidance for basic GRN inference, algorithm selection, distributed computing, integration with pySCENIC, and reproducibility practices. It is designed for analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

data.analyzeweight 90 · confidence 90data.transformweight 70 · confidence 80compute.executeweight 80 · confidence 85

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.