Agens arboreto

skill_id: arboreto name: arboreto description: 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. version: 1.0.0 author: K-Dense Inc. license: BSD-3-Clause license tags:

• scientific-agent-skills
• arboreto tools: [] permissions: network: false filesystem: false shell: false agents:
• bio_code_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: arboreto upstream_path: scientific-skills/arboreto/SKILL.md upstream_frontmatter: name: arboreto description: 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. license: BSD-3-Clause license metadata: skill-author: K-Dense Inc.