Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.

Zhang, Yanju; Xie, Ruopeng; Wang, Jiawei; Leier, André; Marquez-Lago, Tatiana T; Akutsu, Tatsuya; Webb, Geoffrey I; Chou, Kuo-Chen; Song, Jiangning

Zhang, Yanju; Xie, Ruopeng; Wang, Jiawei; Leier, André; Marquez-Lago, Tatiana T; Akutsu, Tatsuya; Webb, Geoffrey I; Chou, Kuo-Chen; Song, Jiangning.

Afiliación

Zhang Y; School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Xie R; School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Wang J; Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, VIC 3800, Australia.
Leier A; Department of Genetics, School of Medicine, University of Alabama at Birmingham, AL, USA.
Marquez-Lago TT; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, AL, USA.
Akutsu T; Department of Genetics, School of Medicine, University of Alabama at Birmingham, AL, USA.
Webb GI; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, AL, USA.
Chou KC; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto 611-0011, Japan.
Song J; Monash Centre for Data Science, Faculty of Information Technology, Monash University, VIC 3800, Australia.

Brief Bioinform ; 20(6): 2185-2199, 2019 11 27.

Article en En | MEDLINE | ID: mdl-30351377

Asunto(s)

Biología Computacional; Lisina/metabolismo; Aprendizaje Automático; Malonatos/metabolismo; Animales; Humanos

Palabras clave

Light Gradient Boosting Machine; computational prediction; ensemble learning; feature encoding methods; lysine malonylation; machine learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Aprendizaje Automático / Lisina / Malonatos Tipo de estudio: Clinical_trials / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: China

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