Your browser doesn't support javascript.
loading
Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants.
Rifaioglu, Ahmet Sureyya; Dogan, Tunca; Saraç, Ömer Sinan; Ersahin, Tulin; Saidi, Rabie; Atalay, Mehmet Volkan; Martin, Maria Jesus; Cetin-Atalay, Rengul.
Afiliação
  • Rifaioglu AS; Department of Computer Engineering, Middle East Technical University, Ankara, 06800, Turkey.
  • Dogan T; Department of Computer Engineering, Iskenderun Technical University, Hatay, 31200, Turkey.
  • Saraç ÖS; Protein Function Development Team, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
  • Ersahin T; CanSyL, Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey.
  • Saidi R; Department of Computer Engineering, Istanbul Technical University, Istanbul, 34467, Turkey.
  • Atalay MV; CanSyL, Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey.
  • Martin MJ; Protein Function Development Team, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, United Kingdom.
  • Cetin-Atalay R; Department of Computer Engineering, Middle East Technical University, Ankara, 06800, Turkey.
Proteins ; 86(2): 135-151, 2018 02.
Article em En | MEDLINE | ID: mdl-29098713
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / PTEN Fosfo-Hidrolase / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / PTEN Fosfo-Hidrolase / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article