SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data

Seungjun Ahn; Somnath Datta

doi:10.1093/bioinformatics/btad766

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data

Seungjun Ahn, Somnath Datta

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Article number	40
Journal	Bioinformatics
Volume	40
Issue number	1
DOIs	https://doi.org/10.1093/bioinformatics/btad766
State	Published - 1 Jan 2024

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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.",

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SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data

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