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Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.
Mohammad Mirzaei, Navid; Changizi, Navid; Asadpoure, Alireza; Su, Sumeyye; Sofia, Dilruba; Tatarova, Zuzana; Zervantonakis, Ioannis K; Chang, Young Hwan; Shahriyari, Leili.
Afiliación
  • Mohammad Mirzaei N; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
  • Changizi N; Department of Civil and Environmental Engineering, University of Massachusetts, Dartmouth, Massachusetts, United States of America.
  • Asadpoure A; Department of Civil and Environmental Engineering, University of Massachusetts, Dartmouth, Massachusetts, United States of America.
  • Su S; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
  • Sofia D; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
  • Tatarova Z; Department of Biomedical Engineering and OHSU Center for Spatial Systems Biomedicine (OCSSB), Oregon Health and Science University, Portland, Oregon, United States of America.
  • Zervantonakis IK; Department of Bioengineering, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
  • Chang YH; Department of Biomedical Engineering and OHSU Center for Spatial Systems Biomedicine (OCSSB), Oregon Health and Science University, Portland, Oregon, United States of America.
  • Shahriyari L; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
PLoS Comput Biol ; 18(3): e1009953, 2022 03.
Article en En | MEDLINE | ID: mdl-35294447
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos