Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3. Use for transcription factor-target association ranking, compatible Dask execution, sparse expression inputs, and network stability checks.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill arboretonpx skills add K-Dense-AI/scientific-agent-skills --skill arboreto -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill arboreto -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/arboretogh skill install K-Dense-AI/scientific-agent-skills arboretogit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/arboreto ~/.claude/skills/arboreto # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/arboreto ~/.agents/skills/arboreto # Codex, Cursor, Gemini CLI, Copilot, OpenCode