BioinformaticsbioRxivPreprint
Domain-Invariant Feature Learning for Patient-Level Phenotype Prediction from Single-Cell Data
Mathias Perez, Justin Hong, Aaron Zweig, Elham Azizi
The paper improves patient-level phenotype prediction from scRNA-seq data by learning domain-invariant features, showing better out-of-domain accuracy and biological fidelity.