Description
Confirming Biological Relevance of Extracted Features
Once features are obtained from core workflows or multi-omics fusion, Bainom validates their biological and clinical significance through:
- Condition-Specific Matching: Comparing user data against harmonized reference datasets from TCGA, GEO, ENCODE, and biobanks for disease and healthy states.
- Biomarker Presence Check: Detecting top disease-specific biomarkers curated from high-impact literature.
- Pathway-Level Analysis: Mapping features to condition-specific and organ-specific pathways (e.g., pancreatic cancer pathways, healthy heart function).
- Dimensionality Reduction & Visualization: Using PCA and other methods to assess whether identified features separate conditions globally or match disease signatures.
This step ensures that your findings are not just statistically significant—but biologically meaningful and clinically relevant.
