Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. | Brief Bioinform;22(3)2021 05 20. | MEDLINE

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Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.

Sheng, Nan; Cui, Hui; Zhang, Tiangang; Xuan, Ping.

Brief Bioinform ; 22(3)2021 05 20.

Article in En | MEDLINE | ID: mdl-32444875

Subject(s)

RNA, Long Noncoding/metabolism; Algorithms; Computational Biology/methods; Datasets as Topic; Deep Learning; Humans; Neoplasms/pathology; Neural Networks, Computer

Key words

convolutional and variance autoencoders; deep learning; lncRNAdisease association prediction; representation-level attention

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Long Noncoding Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Long Noncoding Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article