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Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowd.
Gabor, Attila; Tognetti, Marco; Driessen, Alice; Tanevski, Jovan; Guo, Baosen; Cao, Wencai; Shen, He; Yu, Thomas; Chung, Verena; Bodenmiller, Bernd; Saez-Rodriguez, Julio.
Afiliação
  • Gabor A; Institute for Computational Biomedicine, Heidelberg University and Heidelberg University Hospital, Faculty of Medicine, Bioquant, Heidelberg, Germany.
  • Tognetti M; Department of Quantitative Biomedicine & Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
  • Driessen A; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Tanevski J; Molecular Life Science PhD Program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Zurich, Switzerland.
  • Guo B; Institute for Computational Biomedicine, Heidelberg University and Heidelberg University Hospital, Faculty of Medicine, Bioquant, Heidelberg, Germany.
  • Cao W; Institute for Computational Biomedicine, Heidelberg University and Heidelberg University Hospital, Faculty of Medicine, Bioquant, Heidelberg, Germany.
  • Shen H; Division of AI & Bioinformatics, Shenzhen Digital Life Institute, Shenzhen, China.
  • Yu T; Division of AI & Bioinformatics, Shenzhen Digital Life Institute, Shenzhen, China.
  • Chung V; Division of AI & Bioinformatics, Shenzhen Digital Life Institute, Shenzhen, China.
  • Bodenmiller B; Sage Bionetworks, Seattle, WA, USA.
Mol Syst Biol ; 17(10): e10402, 2021 10.
Article em En | MEDLINE | ID: mdl-34661974
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Transdução de Sinais Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Transdução de Sinais Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha