DDI‐Transform: A neural network for predicting drug‐drug interaction events

Abstract Drug‐drug interaction (DDI) event prediction is a challenging problem, and accurate prediction of DDI events is critical to patient health and new drug development. Recently, many machine learning‐based techniques have been proposed for predicting DDI events. However, most of the existing m...

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Bibliografiske detaljer

Principais autores:	Jiaming Su, Ying Qian
Format:	Artigo
Sprog:	Inglês
Udgivet:	Wiley 2024-06-01
Serier:	Quantitative Biology
Fag:	adaptive learning graph convolutional networks interaction prediction meta‐path
Online adgang:	https://doi.org/10.1002/qub2.44
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