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Prediction of miRNA-disease associations based on PCA and cascade forest

Abstract Background As a key non-coding RNA molecule, miRNA profoundly affects gene expression regulation and connects to the pathological processes of several kinds of human diseases. However, conventional experimental methods for validating miRNA-disease associations are laborious. Consequently, t...

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Bibliografski detalji
Glavni autori: Chuanlei Zhang, Yubo Li, Yinglun Dong, Wei Chen, Changqing Yu
Format: Artigo
Jezik:Inglês
Izdano: BMC 2024-12-01
Serija:BMC Bioinformatics
Teme:
Online pristup:https://doi.org/10.1186/s12859-024-05999-w
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