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ARZIMM: A Novel Analytic Platform for the Inference of Microbial Interactions and Community Stability from Longitudinal Microbiome Study.
He, Linchen; Wang, Chan; Hu, Jiyuan; Gao, Zhan; Falcone, Emilia; Holland, Steven M; Blaser, Martin J; Li, Huilin.
Afiliación
  • He L; Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States.
  • Wang C; Division of Biostatistics, Department of Population Health, New York University School of Medicine, East Hanover, NY, United States.
  • Hu J; Division of Biostatistics, Department of Population Health, New York University School of Medicine, East Hanover, NY, United States.
  • Gao Z; Center for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, NJ, United States.
  • Falcone E; Division of Intramural Research, Immunopathogenesis Section, NIAID, NIH, Bethesda, MD, United States.
  • Holland SM; Division of Intramural Research, Immunopathogenesis Section, NIAID, NIH, Bethesda, MD, United States.
  • Blaser MJ; Center for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, NJ, United States.
  • Li H; Division of Biostatistics, Department of Population Health, New York University School of Medicine, East Hanover, NY, United States.
Front Genet ; 13: 777877, 2022.
Article en En | MEDLINE | ID: mdl-35281829
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
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PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos