MDAlmc: A Novel Low-rank Matrix Completion Model for MiRNADisease Association Prediction by Integrating Similarities among MiRNAs and Diseases.

Wang, Kun; Xu, Junlin; Tian, Geng; Li, Yang; Zeng, Xueying; Yang, Jialiang

Wang, Kun; Xu, Junlin; Tian, Geng; Li, Yang; Zeng, Xueying; Yang, Jialiang.

Afiliação

Wang K; School of Mathematical Sciences, Ocean University of China, Qingdao 266000, China.
Xu J; College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
Tian G; Geneis Beijing Co., Ltd., Beijing 100102, China.
Li Y; Qingdao Genesis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China.
Zeng X; School of Mathematical Sciences, Ocean University of China, Qingdao 266000, China.
Yang J; School of Mathematical Sciences, Ocean University of China, Qingdao 266000, China.

Curr Gene Ther ; 23(4): 316-327, 2023.

Article em En | MEDLINE | ID: mdl-37114790

Assuntos

Neoplasias Pulmonares; MicroRNAs; Humanos; MicroRNAs/genética; Predisposição Genética para Doença; Algoritmos; Biologia Computacional/métodos

Palavras-chave

5-fold cross validation; AUPRC; AUROC; MDA1mc; MiRNA-disease association; low-rank matrix completion

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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