Genome-Phenome Association Prediction by Deep Factorizing Heterogeneous Molecular Network

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2021)

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摘要
Genome-phenome association (GPA) play a crucial part in deciphering the complex pathology of phenotypes (i.e., traits and diseases). Heterogeneous network-based GPA solutions can model the complex connections between multi-types of molecules by viewing them as nodes, and give better results than using single/two-omics data alone, but they overwhelmingly need to project other molecules toward homog...
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关键词
Representation learning,Pathology,Protocols,Network topology,Soft sensors,Genomics,Data integration
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