2 papers
cs.LG2024
DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
Liangrui Pan, Xiang Wang, Qingchun Liang +4
Background and Objective: Given the high heterogeneity and clinical diversity of cancer, substantial variations exist in multi-omics data and clinical features across different can…
cs.CV2024
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
Liangrui Pan, Yijun Peng, Yan Li +4
Integrating the different data modalities of cancer patients can significantly improve the predictive performance of patient survival. However, most existing methods ignore the sim…