BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization

BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization

IntroductionPredicting potential associations between microbes and drugs is crucial for advancing pharmaceutical research and development. In this manuscript, we introduced an innovative computational model named BANNMDA by integrating Bilinear Attention Networks(BAN) with the Nuclear Norm Minimizat...

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Bibliographic Details
Main Authors: Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Microbiology
Subjects:
computational model
microbe–drug associations
bilinear attention networks
nuclear norm minimization
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2024.1497886/full
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https://www.frontiersin.org/articles/10.3389/fmicb.2024.1497886/full

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