ProtInteract: A deep learning framework for predicting protein-protein interactions.

Soleymani, Farzan; Paquet, Eric; Viktor, Herna Lydia; Michalowski, Wojtek; Spinello, Davide

Soleymani, Farzan; Paquet, Eric; Viktor, Herna Lydia; Michalowski, Wojtek; Spinello, Davide.

Afiliación

Soleymani F; Department of Mechanical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Paquet E; National Research Council, 1200 Montreal Road, Ottawa, ON K1A 0R6, Canada.
Viktor HL; School of Electrical Engineering and Computer Science, University of Ottawa, ON K1N 6N5, Canada.
Michalowski W; Telfer School of Management, University of Ottawa, ON K1N 6N5, Canada.
Spinello D; Department of Mechanical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Comput Struct Biotechnol J ; 21: 1324-1348, 2023.

Article en En | MEDLINE | ID: mdl-36817951

Palabras clave

Autoencoder; Convolutional neural network; Feature selection; Long short-term memory; ProteinProtein interaction; Sequential pattern; Temporal convolutional, Network

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Países Bajos

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