BioinformaticsbioRxivPreprint
Exploring multi-omics latent embedding spaces for characterizing tumor heterogeneity and tumoral fitness effects
Feng‐ao Wang, Junwei Liu, Feng Gao, Yixue Li
This study introduces XgeneVAE, a deep learning framework that characterizes tumor heterogeneity and fitness effects using multi-omics data, showing its ability to reflect patient survival differences and uncover genomic alterations.