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SKILL
arboreto
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/arboretoSUMMARY
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.