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A statistical model for describing and simulating microbial community profiles.
Ma, Siyuan; Ren, Boyu; Mallick, Himel; Moon, Yo Sup; Schwager, Emma; Maharjan, Sagun; Tickle, Timothy L; Lu, Yiren; Carmody, Rachel N; Franzosa, Eric A; Janson, Lucas; Huttenhower, Curtis.
Afiliación
  • Ma S; Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Ren B; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Mallick H; Broad Institute, Cambridge, Massachusetts, United States of America.
  • Moon YS; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Schwager E; Broad Institute, Cambridge, Massachusetts, United States of America.
  • Maharjan S; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Tickle TL; Broad Institute, Cambridge, Massachusetts, United States of America.
  • Lu Y; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Carmody RN; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Franzosa EA; Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Janson L; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Huttenhower C; Broad Institute, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol ; 17(9): e1008913, 2021 09.
Article en En | MEDLINE | ID: mdl-34516542
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Modelos Estadísticos / Microbiota Tipo de estudio: Risk_factors_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Modelos Estadísticos / Microbiota Tipo de estudio: Risk_factors_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos