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Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data.
Yang, Pengyi; Zheng, Xiaofeng; Jayaswal, Vivek; Hu, Guang; Yang, Jean Yee Hwa; Jothi, Raja.
Afiliación
  • Yang P; Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, United States of America; Biostatistics Branch, National Institute of Environmental Health Sciences, National Institutes
  • Zheng X; Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, United States of America.
  • Jayaswal V; Centre for Mathematical Biology, School of Mathematics and Statistics, University of Sydney, Sydney, Australia.
  • Hu G; Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, United States of America.
  • Yang JY; Centre for Mathematical Biology, School of Mathematics and Statistics, University of Sydney, Sydney, Australia.
  • Jothi R; Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina, United States of America; Biostatistics Branch, National Institute of Environmental Health Sciences, National Institutes
PLoS Comput Biol ; 11(8): e1004403, 2015 Aug.
Article en En | MEDLINE | ID: mdl-26252020

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fosfoproteínas / Transducción de Señal / Comunicación Celular / Proteoma / Proteómica / Bases del Conocimiento Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2015 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fosfoproteínas / Transducción de Señal / Comunicación Celular / Proteoma / Proteómica / Bases del Conocimiento Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2015 Tipo del documento: Article