Computational prediction of allergenic proteins based on multi-feature fusion.

Liu, Bin; Yang, Ziman; Liu, Qing; Zhang, Ying; Ding, Hui; Lai, Hongyan; Li, Qun

Liu, Bin; Yang, Ziman; Liu, Qing; Zhang, Ying; Ding, Hui; Lai, Hongyan; Li, Qun.

Afiliación

Liu B; Department of Anesthesiology, The Fourth People's Hospital of Sichuan Province, Chengdu, Sichuan, China.
Yang Z; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Liu Q; Department of Pain, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Zhang Y; Department of Anesthesiology, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Ding H; School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Lai H; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China.
Li Q; Department of Pain, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China.

Front Genet ; 14: 1294159, 2023.

Article en En | MEDLINE | ID: mdl-37928245

Palabras clave

allergenic protein; feature selection; multi-feature fusion; prediction; random forest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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