Additional file 2 of Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integration

Additional file 2: Table S1. Description of the features used in model training. Table S2. Description of train-test splits in the study. Table S3. Model evaluation of feature engineering. Table S4. SHAP values from model predicting the gRNA depletion. Table S5. Model evaluation of data fusion. Table S6. Model evaluation of data fusion with other model types. Table S7. Model evaluation of segregating gene and guide effects. Table S8. SHAP values from segregation models. Table S9. SHAP interaction values from MERF. Table S10. Description of gRNAs targeting deGFP. Table S11. Description of gRNAs in miller assay. Table S12. Model evaluation for targeting deGFP and Miller assay. Table S13. Description of gRNAs for screen of purine biosynthesis genes. Table S14. Model evaluation of saturating screen of purine biosynthesis genes. Table S15. List of strains. Table S16. List of plasmids. Table S17. List of oligos for plasmid construction, library generation, and sequencing.