Case Studies
Real-world applications of FDFI explainers on drug sensitivity data (GDSC dataset, n ≈ 600, d = 832 binary genomic features).
- Load Data And Feature Groups
- Fit EOT FDFI
- Individual Feature Inference With conf_int()
- Feature-Level Summary
- Group Importance
- Group Summary Table
- Group Mapping
- Group Importance Plot
- Summary
- Load Data and Feature Groups
- Fit Flow Model on All Data
- Individual Feature Inference With conf_int()
- Feature-Level Summary
- Group Importance
- Group Summary Table
- Group Mapping
- Group Importance Plot
- Visualize and Compare Results: Flow vs EOT
- Note on Variance Floor (
var_floor_c)