Small sample size study -- PCOS
This workflow attempts to uncover how different biomarkers (e.g., glucose and insulin levels) are associated with PCOS in obese women.
In summary, this workflow:
1 - explores, oversamples, combines, and processes metabolic, lipidomic, and clinical data;
2 - builds and optimizes a Random Forest classifier to identify biomarkers that discriminate patients with PCOS from those without it;
3 - and validates the relevance of these putative biomarkers.
Nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Math Expression (JEP)
- FeatureKNIME Statistics Nodes
Links
- No links available