gene-regulatory-networkslisted

# Gene Regulatory Networks ## Version Compatibility Reference examples assume recent stable releases of the preferred tools, especially `arboreto-like` and the other tools listed below. Before using code or command patterns, verify installed versions match the environment: - Python: `python -c "import <module>; print(<module>.__version__)"` - CLI: `<tool> --version` - If signatures differ, inspect the installed help or API and adapt the pattern instead of retrying unchanged. ## Overview Workflow for regulatory network inference, regulon scoring, perturbation-aware comparison, and network visualization. ## When To Use This Skill - use when the task is GRN inference or regulon-level interpretation - use when the data include expression matrices and optionally chromatin features or TF priors - use when the user needs network-level summaries rather than only gene lists ## Quick Route - If the input is raw or minimally processed data, start with validation and QC before any modeling. - If the input is already processed, skip directly to the first workflow step that matches the user goal. - If the user asks for a biological conclusion, always produce at least one QC or confidence artifact alongside the final result. ## Progressive Disclosure - Read `references/technical_reference.md` when you need deeper tool-selection rules, environment adaptation notes, or extra validation guidance. - Keep `SKILL.md` as the main execution path and load the reference file only when t