Your browser doesn't support javascript.
loading
Refinements of LC-MS/MS Spectral Counting Statistics Improve Quantification of Low Abundance Proteins.
Lee, Ha Yun; Kim, Eunhee G; Jung, Hye Ryeon; Jung, Jin Woo; Kim, Han Byeol; Cho, Jin Won; Kim, Kristine M; Yi, Eugene C.
Afiliação
  • Lee HY; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine or College of Pharmacy, Seoul National University, Seoul, 03080, South Korea.
  • Kim EG; Department of Systems Immunology, Division of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Gangwon, 24341, South Korea.
  • Jung HR; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine or College of Pharmacy, Seoul National University, Seoul, 03080, South Korea.
  • Jung JW; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine or College of Pharmacy, Seoul National University, Seoul, 03080, South Korea.
  • Kim HB; Department of Integrated OMICS for Biomedical Science, Graduate School, Yonsei University, Seoul, 03722, South Korea.
  • Cho JW; Department of Integrated OMICS for Biomedical Science, Graduate School, Yonsei University, Seoul, 03722, South Korea.
  • Kim KM; Department of Systems Immunology, Division of Biomedical Convergence, College of Biomedical Science, Kangwon National University, Gangwon, 24341, South Korea. kmkim@kangwon.ac.kr.
  • Yi EC; Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology and College of Medicine or College of Pharmacy, Seoul National University, Seoul, 03080, South Korea. euyi@snu.ac.kr.
Sci Rep ; 9(1): 13653, 2019 09 20.
Article em En | MEDLINE | ID: mdl-31541118
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Proteômica / Mapas de Interação de Proteínas / Glucose Tipo de estudo: Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Coréia do Sul
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Proteômica / Mapas de Interação de Proteínas / Glucose Tipo de estudo: Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Coréia do Sul