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Novel classification for global gene signature model for predicting severity of systemic sclerosis.
Johnson, Zariel I; Jones, Jacqueline D; Mukherjee, Angana; Ren, Dianxu; Feghali-Bostwick, Carol; Conley, Yvette P; Yates, Cecelia C.
Afiliação
  • Johnson ZI; Department of Health Promotions and Development, University of Pittsburgh School of Nursing, Pittsburgh, PA, United States of America.
  • Jones JD; Department of Biological & Environmental Sciences, Troy University, Troy, AL, United States of America.
  • Mukherjee A; Department of Biological & Environmental Sciences, Troy University, Troy, AL, United States of America.
  • Ren D; Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA, United States of America.
  • Feghali-Bostwick C; Department of Rheumatology & Immunology, University of South Carolina, Charleston, SC, United States of America.
  • Conley YP; Department of Health Promotions and Development, University of Pittsburgh School of Nursing, Pittsburgh, PA, United States of America.
  • Yates CC; Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, United States of America.
PLoS One ; 13(6): e0199314, 2018.
Article em En | MEDLINE | ID: mdl-29924864
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escleroderma Sistêmico / Índice de Gravidade de Doença / Perfilação da Expressão Gênica / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escleroderma Sistêmico / Índice de Gravidade de Doença / Perfilação da Expressão Gênica / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article