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Modelling bistable tumour population dynamics to design effective treatment strategies.
Akhmetzhanov, Andrei R; Kim, Jong Wook; Sullivan, Ryan; Beckman, Robert A; Tamayo, Pablo; Yeang, Chen-Hsiang.
Afiliación
  • Akhmetzhanov AR; Institute of Statistical Science, Academia Sinica, 128 Academia Rd, Sec 2, Nankang, 11529, Taipei, Taiwan; Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
  • Kim JW; Broad Institute of Harvard & MIT, 450 Main St, Cambridge, MA, 02142, USA; Division of Medical Genetics, School of Medicine, UC San Diego, CA, USA; Moores Cancer Center and Department of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Sullivan R; Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA.
  • Beckman RA; Departments of Oncology and of Biostatistics, Bioinformatics, and Biomathematics, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA.
  • Tamayo P; Broad Institute of Harvard & MIT, 450 Main St, Cambridge, MA, 02142, USA; Division of Medical Genetics, School of Medicine, UC San Diego, CA, USA; Moores Cancer Center and Department of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Yeang CH; Institute of Statistical Science, Academia Sinica, 128 Academia Rd, Sec 2, Nankang, 11529, Taipei, Taiwan. Electronic address: chyeang@stat.sinica.edu.tw.
J Theor Biol ; 474: 88-102, 2019 08 07.
Article en En | MEDLINE | ID: mdl-31077681
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Resistencia a Antineoplásicos / Proteínas Proto-Oncogénicas B-raf / Inhibidores de Proteínas Quinasas / Melanoma / Modelos Biológicos / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Theor Biol Año: 2019 Tipo del documento: Article País de afiliación: Japón
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Resistencia a Antineoplásicos / Proteínas Proto-Oncogénicas B-raf / Inhibidores de Proteínas Quinasas / Melanoma / Modelos Biológicos / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Theor Biol Año: 2019 Tipo del documento: Article País de afiliación: Japón