Analytical chemistryHumansData MiningDeep LearningAutoencoder
MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data.
Jinhui Zhao, Jiarui He, Pengwei Guan, Han Bao, Xinjie Zhao, Chunxia Zhao, Wangshu Qin, Xin Lu, Guowang Xu
Published: 202510.1021/acs.analchem.5c03611
Abstract
The rapid growth of multiomics data has revolutionized our ability to investigate disease mechanisms, yet significant challenges persist in achieving meaningful integration due to inherent data heterogeneity, characteristic sparsity patterns, and the…
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