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Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer.
Johnson, Kaitlyn E; Howard, Grant R; Morgan, Daylin; Brenner, Eric A; Gardner, Andrea L; Durrett, Russell E; Mo, William; Al'Khafaji, Aziz; Sontag, Eduardo D; Jarrett, Angela M; Yankeelov, Thomas E; Brock, Amy.
Afiliação
  • Johnson KE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Howard GR; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Morgan D; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Brenner EA; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Gardner AL; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Durrett RE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Mo W; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Al'Khafaji A; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Sontag ED; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Jarrett AM; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Yankeelov TE; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, 78712, United States of America.
  • Brock A; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115, United States of America.
Phys Biol ; 18(1): 016001, 2020 11 20.
Article em En | MEDLINE | ID: mdl-33215611

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Resistencia a Medicamentos Antineoplásicos / Análise de Célula Única / Transcriptoma / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Resistencia a Medicamentos Antineoplásicos / Análise de Célula Única / Transcriptoma / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos