LncRNA-Disease Association Prediction Using Two-Side Sparse Self-Representation.

Ou-Yang, Le; Huang, Jiang; Zhang, Xiao-Fei; Li, Yan-Ran; Sun, Yiwen; He, Shan; Zhu, Zexuan

Ou-Yang, Le; Huang, Jiang; Zhang, Xiao-Fei; Li, Yan-Ran; Sun, Yiwen; He, Shan; Zhu, Zexuan.

Affiliation

Ou-Yang L; Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China.
Huang J; FJKLMAA (Fujian Key Laborotary of Mathematical Analysis and Applications), Fujian Normal University, Fuzhou, China.
Zhang XF; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
Li YR; School of Mathematics and Statistics and Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Wuhan, China.
Sun Y; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.
He S; School of Medicine, Shenzhen University, Shenzhen, China.
Zhu Z; School of Computer Science, University of Birmingham, Birmingham, United Kingdom.

Front Genet ; 10: 476, 2019.

Article de En | MEDLINE | ID: mdl-31191605

Mots clés

computational approaches; disease similarity; lncRNA similarity; lncRNAs-disease associations prediction; sparse representation

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Genet Année: 2019 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

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