arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
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Installation for Agentic Skill
View all platforms →skilz install davila7/claude-code-templates/arboretoskilz install davila7/claude-code-templates/arboreto --agent opencodeskilz install davila7/claude-code-templates/arboreto --agent codexskilz install davila7/claude-code-templates/arboreto --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/davila7/claude-code-templatescp -r claude-code-templates/cli-tool/components/skills/scientific/arboreto ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- claude-code-templates
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- machine learning gene regulatory
- Market Score
- 24
Browse Category
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