Article

Negative Binomial factor regression with application to microbiome data analysis

2021-11-29

Abstract excerpt

The human microbiome provides essential physiological functions and helps maintain host homeostasis via the formation of intricate ecological host-microbiome relationships. While it is well established that the lifestyle of the host, dietary preferences, demographic background, and health status can influence microbial community composition and dynamics, robust generalizable associations between specific host-asso...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 57441913-fa45-53a0-9dd7-2271cd2cd487
DOI: 10.1101/2021.11.29.470304

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Negative Binomial factor regression with application to microbiome data analysisDOI 10.1101/2021.11.29.470304Read

A universal taxonomic and functional human gut microbiome model for disease classification and phenotype discoverySemantic proximity Read

mbDriver: identifying driver microbes in microbial communities based on time-series microbiome dataSemantic proximity Read

Correlating High-dimensional longitudinal microbial features with time-varying outcomes with FLORALSemantic proximity Read

Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype.Semantic proximity Read

Association of Body Index with Fecal Microbiome in Children Cohorts with Ethnic-Geographic Factor Interaction: Accurately Using a Bayesian Zero-inflated Negative Binomial Regression ModelSemantic proximity Read

Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorizationSemantic proximity Read

Multivariable Association Discovery in Population-scale Meta-omics StudiesSemantic proximity Read

MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamicsSemantic proximity Read

MaAsLin 3: Refining and extending generalized multivariable linear models for meta-omic association discoverySemantic proximity Read

MB-SupCon: Microbiome-based predictive models via Supervised Contrastive LearningSemantic proximity Read

ZERO-INFLATED NEGATIVE BINOMIAL REGRESSION FOR DIFFERENTIAL ABUNDANCE TESTING IN MICROBIOME STUDIESSemantic proximity Read

Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data.Semantic proximity Read