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.

Afiliación

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 en En | MEDLINE | ID: mdl-36694944

Asunto(s)

COVID-19; Aprendizaje Profundo; Humanos; Metilación; Arginina/metabolismo; SARS-CoV-2/metabolismo; Proteínas/metabolismo

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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