Breast Cancer Subtyping with HyperCLSA: A Hypergraph Contrastive Learning Pipeline for Multi-Omics Data Integration
Gaurav Bhole, Poorvi HC, Madhav J.R., Vinod PK, Prabhakar Bhimalapuram
This paper introduces HyperCLSA, a deep learning framework for breast cancer subtyping using multi-omics data integration, achieving 90.1% accuracy on TCGA-BRCA for PAM50 classification.
Lecture notes in computer science · Jan 1, 2026Peer-reviewedCancer Biology