Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function.

Miao, Yang-Yang; Zhao, Wei; Li, Guang-Ping; Gao, Yang; Du, Pu-Feng

Miao, Yang-Yang; Zhao, Wei; Li, Guang-Ping; Gao, Yang; Du, Pu-Feng.

Afiliación

Miao YY; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Zhao W; School of Chemical Engineering, Tianjin University, Tianjin, China.
Li GP; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Gao Y; College of Intelligence and Computing, Tianjin University, Tianjin, China.
Du PF; School of Medicine, Nankai University, Tianjin, China.

Front Genet ; 10: 1231, 2019.

Article en En | MEDLINE | ID: mdl-31921288

Palabras clave

endoplasmic reticulum resident protein; leave-one-out cross-validation, weight transfer; pseudo-amino acid composition; support vector machine

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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: Front Genet Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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