Phenotype-based probabilistic analysis of heterogeneous responses to cancer drugs and their combination efficacy.

Comandante-Lou, Natacha; Khaliq, Mehwish; Venkat, Divya; Manikkam, Mohan; Fallahi-Sichani, Mohammad

Comandante-Lou, Natacha; Khaliq, Mehwish; Venkat, Divya; Manikkam, Mohan; Fallahi-Sichani, Mohammad.

Afiliación

Comandante-Lou N; Department of Biomedical Engineering, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Khaliq M; Department of Biomedical Engineering, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Venkat D; Program in Cancer Biology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Manikkam M; Department of Biochemistry, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Fallahi-Sichani M; Department of Biomedical Engineering, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.

PLoS Comput Biol ; 16(2): e1007688, 2020 02.

Article en En | MEDLINE | ID: mdl-32084135

Asunto(s)

Antineoplásicos/uso terapéutico; Interacciones Farmacológicas; Quimioterapia Combinada; Neoplasias/tratamiento farmacológico; Neoplasias/fisiopatología; Probabilidad; Línea Celular Tumoral; Terapia Combinada; Simulación por Computador; Humanos; Melanoma/tratamiento farmacológico; Melanoma/fisiopatología; Modelos Estadísticos; Fenotipo; Distribución de Poisson

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Probabilidad / Interacciones Farmacológicas / Quimioterapia Combinada / Neoplasias / Antineoplásicos Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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