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multi-omics-integrationlisted

Workflow for integrating matched or partially matched omics layers into shared latent structure and cross-modal interpretation.
BioTender-max/awesome-bio-agent-skills · ★ 58 · AI & Automation · score 77
Install: claude install-skill BioTender-max/awesome-bio-agent-skills
# Multi-Omics Integration ## Version Compatibility Reference examples assume recent stable releases of the preferred tools, especially `MOFA+-style` 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 integrating matched or partially matched omics layers into shared latent structure and cross-modal interpretation. ## When To Use This Skill - use when the task is multi-omics factor discovery or integrated cohort analysis - use when the user has two or more omics modalities that should be related jointly - use when cross-modal factors or harmonized sample structure are needed ## 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 wh