2 papers
q-bio.QM2026
scDNM-VAE enables directly inspectable deep clustering of single-cell RNA-seq data through signed dendritic gating
Melih Agraz, Deniz Karapinar, Aysel Topsir +3
Deep clustering models for single-cell RNA sequencing often assign cells through latent or centroid-based mechanisms that are difficult to inspect. We introduce scDNM-VAE (single-c…
cs.LG2025
RGE-GCN: Recursive Gene Elimination with Graph Convolutional Networks for RNA-seq based Early Cancer Detection
Shreyas Shende, Varsha Narayanan, Vishal Fenn +5
Early detection of cancer plays a key role in improving survival rates, but identifying reliable biomarkers from RNA-seq data is still a major challenge. The data are high-dimensio…