Predicting subcellular localization of multisite proteins using differently weighted multi-label k-nearest neighbors sets.

Jiang, Zhongting; Wang, Dong; Wu, Peng; Chen, Yuehui; Shang, Huijie; Wang, Luyao; Xie, Huichun

Jiang, Zhongting; Wang, Dong; Wu, Peng; Chen, Yuehui; Shang, Huijie; Wang, Luyao; Xie, Huichun.

Afiliação

Jiang Z; School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China.
Wang D; School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China.
Wu P; CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China.
Chen Y; Key Laboratory of Medicinal Plant and Animal Resources of Qinghai-Tibet Plateau in Qinghai Province, Qinghai Normal University, Xining, Qinghai, China.
Shang H; School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China.
Wang L; School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China.
Xie H; School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China.

Technol Health Care ; 27(S1): 185-193, 2019.

Article em En | MEDLINE | ID: mdl-31045538

Assuntos

Aminoácidos/análise; Proteínas/análise; Frações Subcelulares/metabolismo; Biologia Computacional/métodos; Bases de Dados de Proteínas; Entropia; Proteômica

Palavras-chave

Pseudo amino acid composition (PseAAC); entropy density; multi-label k-nearest neighbors (ML-KNN); subcellular localization of multisite proteins; wML-KNN

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Frações Subcelulares / Proteínas / Aminoácidos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Technol Health Care Assunto da revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Holanda

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