DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism.

Zhou, Haiwei; Tan, Wenxi; Shi, Shaoping

Zhou, Haiwei; Tan, Wenxi; Shi, Shaoping.

Afiliação

Zhou H; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Tan W; School of Mathematical Sciences, Fudan University, Shanghai 200433, China.
Shi S; Department of Mathematics, School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China.

Brief Bioinform ; 24(2)2023 03 19.

Article em En | MEDLINE | ID: mdl-36694944

Assuntos

COVID-19; Aprendizado Profundo; Humanos; Metilação; Arginina/metabolismo; SARS-CoV-2/metabolismo; Proteínas/metabolismo

Palavras-chave

Gaussian prior; gated attention mechanism; methylation; residual network; weighted joint loss function

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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