Inferring Disease Progressive Stages in Single-Cell Transcriptomics Using Weakly-Supervised Deep Learning Approach
Fabien Wehbe, Levi Adams, Jordan Babadoudou, Samantha Yuen, Yoon-Seong Kim, Yoshiaki Tanaka
This paper introduces scIDST, a weakly-supervised deep learning method to infer disease progressive stages in single-cell transcriptomics, revealing disease-relevant gene expression patterns not detectable by standard comparisons.
Genome Research · Jan 1, 2025Peer-reviewedGenetics