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A hybrid positive unlabeled learning framework for uncovering scaffolds across human proteome by measuring the propensity to drive phase separation.
Jiang, Peiran; Cai, Ruoxi; Lugo-Martinez, Jose; Guo, Yaping.
Afiliação
  • Jiang P; Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China.
  • Cai R; Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.
  • Lugo-Martinez J; Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China.
  • Guo Y; Computational Biology Department, School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.
Brief Bioinform ; 24(2)2023 03 19.
Article em En | MEDLINE | ID: mdl-36754843
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Fisiológicos Celulares / Proteoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Fisiológicos Celulares / Proteoma Idioma: En Ano de publicação: 2023 Tipo de documento: Article