DPMGCDA: Deciphering circRNA-Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder

Accumulating evidence has indicated that the expression of circular RNAs (circRNAs) can affect the cellular sensitivity to drugs and significantly influence drug efficacy. However, traditional experimental approaches for validating these associations are resource-intensive and time-consuming. To add...

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Bibliographic Details

Published in:	Journal of chemical information and modeling Vol. 64; no. 10; p. 4359
Main Authors:	Luo, Yue, Deng, Lei
Format:	Journal Article
Language:	English
Published:	United States 27.05.2024
Subjects:	Computational Biology - methods Humans Machine Learning RNA, Circular - genetics RNA, Circular - metabolism
ISSN:	1549-960X, 1549-960X
Online Access:	Get more information
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