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Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory

Protein secondary structure prediction (PSSP) is a challenging task in computational biology. However, existing models with deep architectures are not sufficient and comprehensive for deep long-range feature extraction of long sequences. This paper proposes a novel deep learning model to improve Pro...

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Detalles Bibliográficos
Autores principales: Yuan, Lu, Ma, Yuming, Liu, Yihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968878/
https://www.ncbi.nlm.nih.gov/pubmed/36860882
http://dx.doi.org/10.3389/fbioe.2023.1051268