Variant Effect Estimation on Semisynthetic Genomic Data Scenario B hg38 TERT gene
0.084Effect MSEGCM S RC
Evaluation Results
| Method | Links | |
|---|---|---|
| GCM S RCEstimator Strategy=S-learner (outcome model alone), Reverse Complement Equivariance=Yes2026.07 | 0.084 | |
| GCM REstimator Strategy=R-learner (propensity model), Reverse Complement Equivariance=No2026.07 | 0.104 | |
| GCM SEstimator Strategy=S-learner (outcome model alone), Reverse Complement Equivariance=No2026.07 | 0.14 | |
| GCM R RCEstimator Strategy=R-learner (propensity model), Reverse Complement Equivariance=Yes2026.07 | 0.184 | |
| CMEstimator Strategy=Standard Causal Model (linear regression), Interference=No, Reverse Complement Equivariance=No2026.07 | 0.191 |