BioinformaticsbioRxivPreprint
A novel deep optimal transport framework reveals prostate cancer risk heterogeneity, Alzheimers disease risk heterogeneity, and myeloma cells associated with a short-term sham bortezomib response and progressive disease
Ziyu Liu, Sihong Li, Justin L. Couetil…·Travis S. Johnson
The paper introduces DEGASv2, a deep learning framework for analyzing single-cell and spatial transcriptomics data, revealing disease risk heterogeneity and drug response patterns in multiple conditions.