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A Machine Learning Approach for Using the Postmortem Skin Microbiome to Estimate the Postmortem Interval.
Johnson, Hunter R; Trinidad, Donovan D; Guzman, Stephania; Khan, Zenab; Parziale, James V; DeBruyn, Jennifer M; Lents, Nathan H.
Afiliação
  • Johnson HR; Department of Mathematics and Computer Science, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • Trinidad DD; Department of Sciences, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • Guzman S; Department of Sciences, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • Khan Z; Department of Mathematics and Computer Science, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • Parziale JV; Department of Sciences, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • DeBruyn JM; Department of Sciences, John Jay College, The City University of New York, New York, NY, United States of America 10019.
  • Lents NH; Department of Biosystems Engineering & Soil Science, University of Tennessee, Knoxville, TN, United States of America, 37996.
PLoS One ; 11(12): e0167370, 2016.
Article em En | MEDLINE | ID: mdl-28005908
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Microbiota Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pele / Microbiota Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article