ncRDense: A novel computational approach for classification of non-coding RNA family by deep learning.

Chantsalnyam, Tuvshinbayar; Siraj, Arslan; Tayara, Hilal; Chong, Kil To

Chantsalnyam, Tuvshinbayar; Siraj, Arslan; Tayara, Hilal; Chong, Kil To.

Afiliação

Chantsalnyam T; Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea.
Siraj A; Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea.
Tayara H; School of International Engineering and Science, Jeonbuk National University, Jeonju 54896, South Korea. Electronic address: hilaltayara@jbnu.ac.kr.
Chong KT; Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea; Advanced Electronics and Information Research Center, Jeonbuk National University, Jeonju 54896, South Korea. Electronic address: kitchong@jbnu.ac.kr.

Genomics ; 113(5): 3030-3038, 2021 09.

Article em En | MEDLINE | ID: mdl-34242708

Assuntos

Aprendizado Profundo; Biologia Computacional/métodos; Humanos; Aprendizado de Máquina; RNA não Traduzido/genética

Palavras-chave

Classification; Deep learning; Densenet; Feature encoding; Non-coding RNA

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article