PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.

Zhang, Yanju; Yu, Sha; Xie, Ruopeng; Li, Jiahui; Leier, André; Marquez-Lago, Tatiana T; Akutsu, Tatsuya; Smith, A Ian; Ge, Zongyuan; Wang, Jiawei; Lithgow, Trevor; Song, Jiangning

Zhang, Yanju; Yu, Sha; Xie, Ruopeng; Li, Jiahui; Leier, André; Marquez-Lago, Tatiana T; Akutsu, Tatsuya; Smith, A Ian; Ge, Zongyuan; Wang, Jiawei; Lithgow, Trevor; Song, Jiangning.

Afiliação

Zhang Y; Bioinformatics Group, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Yu S; Bioinformatics Group, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Xie R; Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, VIC 3800, Australia.
Li J; Bioinformatics Group, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Leier A; Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, VIC 3800, Australia.
Marquez-Lago TT; Bioinformatics Group, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China.
Akutsu T; Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, Melbourne, VIC 3800, Australia.
Smith AI; Department of Genetics, AL, USA.
Ge Z; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, AL, USA.
Wang J; Department of Genetics, AL, USA.
Lithgow T; Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, AL, USA.
Song J; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.

Bioinformatics ; 36(3): 704-712, 2020 02 01.

Article em En | MEDLINE | ID: mdl-31393553

Assuntos

Algoritmos; Aprendizado de Máquina; Biologia Computacional; Peptídeos; Proteínas

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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