Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs

Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs

Abstract Background The association between MicroRNAs (miRNAs) and diseases is crucial in treating and exploring many diseases or cancers. Although wet-lab methods for predicting miRNA-disease associations (MDAs) are effective, they are often expensive and time-consuming. Significant advancements ha...

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Bibliographic Details
Main Authors: Yinbo Liu, Qi Wu, Le Zhou, Yuchen Liu, Chao Li, Zhuoyu Wei, Wei Peng, Yi Yue, Xiaolei Zhu
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Genomics
Subjects:
MiRNA discovery
Disentangled similarity
Heterogeneous biological memory network
MDAs prediction
Online Access:https://doi.org/10.1186/s12864-024-11078-4
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