NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides.

Chen, Shouzhi; Li, Qing; Zhao, Jianping; Bin, Yannan; Zheng, Chunhou

Chen, Shouzhi; Li, Qing; Zhao, Jianping; Bin, Yannan; Zheng, Chunhou.

Afiliação

Chen S; School of Mathematics and System Science, Xinjiang University, Urumqi, China.
Li Q; School of Mathematics and System Science, Xinjiang University, Urumqi, China.
Zhao J; School of Mathematics and System Science, Xinjiang University, Urumqi, China.
Bin Y; School of Computer Science and Technology, Anhui University, Hefei, China.
Zheng C; School of Mathematics and System Science, Xinjiang University, Urumqi, China.

Brief Bioinform ; 23(5)2022 09 20.

Article em En | MEDLINE | ID: mdl-35988921

Assuntos

Algoritmos; Neuropeptídeos; Neuropeptídeos/genética; Peptídeos/química

Palavras-chave

TCN; Word2vec; deep learning; multi-head attention mechanism; neuropeptide prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Neuropeptídeos Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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