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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Veröffentlicht in:	Journal of chemical information and modeling Jg. 64; H. 10; S. 4359
Hauptverfasser:	Luo, Yue, Deng, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 27.05.2024
Schlagworte:	Computational Biology - methods Humans Machine Learning RNA, Circular - genetics RNA, Circular - metabolism
ISSN:	1549-960X, 1549-960X
Online-Zugang:	Weitere Angaben
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