Your browser doesn't support javascript.
loading
A semiparametric model for between-subject attributes: Applications to beta-diversity of microbiome data.
Liu, J; Zhang, Xinlian; Chen, T; Wu, T; Lin, T; Jiang, L; Lang, S; Liu, L; Natarajan, L; Tu, J X; Kosciolek, T; Morton, J; Nguyen, T T; Schnabl, B; Knight, R; Feng, C; Zhong, Y; Tu, X M.
Afiliación
  • Liu J; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Zhang X; Stein Institute for Research on Aging, UC San Diego, San Diego, California, USA.
  • Chen T; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Wu T; Department of Mathematics, University of Toledo, Toledo, Ohio, USA.
  • Lin T; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Jiang L; Stein Institute for Research on Aging, UC San Diego, San Diego, California, USA.
  • Lang S; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Liu L; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Natarajan L; Center for Microbiome Innovation, UC San Diego, San Diego, California, USA.
  • Tu JX; Department of Medicine, UC San Diego, San Diego, California, USA.
  • Kosciolek T; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Morton J; Department of Family Medicine and Public Health, UC San Diego, San Diego, California, USA.
  • Nguyen TT; Physical Medicine and Rehabilitation, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Schnabl B; Department of Pediatrics, UC San Diego, San Diego, California, USA.
  • Knight R; Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
  • Feng C; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, New York, USA.
  • Zhong Y; Department of Psychiatry, UC San Diego, San Diego, California, USA.
  • Tu XM; Stein Institute for Research on Aging, UC San Diego, San Diego, California, USA.
Biometrics ; 78(3): 950-962, 2022 09.
Article en En | MEDLINE | ID: mdl-34010477
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microbiota Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biometrics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microbiota Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biometrics Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos