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SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data.
Ahn, Seungjun; Datta, Somnath.
Afiliación
  • Ahn S; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
  • Datta S; Department of Biostatistics, University of Florida, Gainesville, FL 32610, United States.
Bioinformatics ; 40(1)2024 01 02.
Article en En | MEDLINE | ID: mdl-38134422
ABSTRACT

SUMMARY:

The SOHPIE R package implements a novel functionality for "multivariable" differential co-abundance network (DN, hereafter) analyses of microbiome data. It incorporates a regression approach that adjusts for additional covariates for DN analyses. This distinguishes from previous prominent approaches in DN analyses such as MDiNE and NetCoMi which do not feature a covariate adjustment of finding taxa that are differentially connected (DC, hereafter) between individuals with different clinical and phenotypic characteristics. AVAILABILITY AND IMPLEMENTATION SOHPIE with a vignette is available on CRAN repository https//CRAN.R-project.org/package=SOHPIE and published under General Public License (GPL) version 3 license.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Microbiota Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Microbiota Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos