Diagnostic Evidence Gauge of Spatial Transcriptomics (DEGAS): Using transfer learning to map clinical data to spatial transcriptomics in prostate cancer
Justin L. Couetil, Ziyu Liu, Ahmed K. Alomari, Jie Zhang, Kun Huang, Travis S. Johnson
The paper introduces DEGAS, a transfer learning framework that maps clinical data to spatial transcriptomics in prostate cancer, identifying transcriptional signatures of carcinogenesis in morphologically normal tissues.
bioRxiv · Apr 21, 2023 · PreprintBioinformatics