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An Inductive Logistic Matrix Factorization Model for Predicting Drug-Metabolite Association With Vicus Regularization
2021
Frontiers in Microbiology
Metabolites are closely related to human disease. The interaction between metabolites and drugs has drawn increasing attention in the field of pharmacomicrobiomics. However, only a small portion of the drug-metabolite interactions were experimentally observed due to the fact that experimental validation is labor-intensive, costly, and time-consuming. Although a few computational approaches have been proposed to predict latent associations for various bipartite networks, such as miRNA-disease,
doi:10.3389/fmicb.2021.650366
pmid:33868209
pmcid:PMC8047063
fatcat:ttsff2adu5hpxcli77rdapuvuq