Kernel Bayesian nonlinear matrix factorization based on variational inference for human–virus protein–protein interaction prediction

Kernel Bayesian nonlinear matrix factorization based on variational inference for human–virus protein–protein interaction prediction

Abstract Identification of potential human–virus protein–protein interactions (PPIs) contributes to the understanding of the mechanisms of viral infection and to the development of antiviral drugs. Existing computational models often have more hyperparameters that need to be adjusted manually, which...

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Bibliographic Details
Main Authors: Yingjun Ma, Yongbiao Zhao, Yuanyuan Ma
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Human proteins
Viral proteins
Bayesian matrix factorization
Automatic rank determination
Variational inference
Online Access:https://doi.org/10.1038/s41598-024-56208-w

Internet

https://doi.org/10.1038/s41598-024-56208-w

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