NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.

Xiao, Qiu; Fu, Yu; Yang, Yide; Dai, Jianhua; Luo, Jiawei

Xiao, Qiu; Fu, Yu; Yang, Yide; Dai, Jianhua; Luo, Jiawei.

Affiliation

Xiao Q; Hunan Normal University and Hunan Xiangjiang Artificial Intelligence Academy, China.
Fu Y; Hunan Normal University, China.
Yang Y; School of Medicine, Hunan Normal University, China.
Dai J; Hunan Normal University and Hunan Xiangjiang Artificial Intelligence Academy, China.
Luo J; Hunan University, China.

Brief Bioinform ; 22(6)2021 11 05.

Article in En | MEDLINE | ID: mdl-33954582

Subject(s)

Algorithms; Biomarkers; Computational Biology/methods; Disease Susceptibility; RNA, Circular; Genetic Association Studies/methods; Humans; ROC Curve; Reproducibility of Results

Key words

circRNAdisease associations; circular RNAs (circRNAs); disease-associated circRNAs; network embedding; subspace learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Biomarkers / Computational Biology / Disease Susceptibility / RNA, Circular Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: China

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