Variant Effect Estimation on Semisynthetic Genomic Data Scenario A hg38 TERT gene
1.637Effect MSEGCM R
Evaluation Results
| Method | Links | |
|---|---|---|
| GCM REstimator Strategy=R-learner (propensity model), Reverse Complement Equivariance=No2026.07 | 1.637 | |
| GCM S RCEstimator Strategy=S-learner (outcome model alone), Reverse Complement Equivariance=Yes2026.07 | 1.926 | |
| GCM SEstimator Strategy=S-learner (outcome model alone), Reverse Complement Equivariance=No2026.07 | 2.083 | |
| GCM R RCEstimator Strategy=R-learner (propensity model), Reverse Complement Equivariance=Yes2026.07 | 2.509 | |
| CMEstimator Strategy=Standard Causal Model (linear regression), Interference=No, Reverse Complement Equivariance=No2026.07 | 2.633 |