2024
mbDecoda: a debiased approach to compositional data analysis for microbiome surveys
Zong Y, Zhao H, Wang T. mbDecoda: a debiased approach to compositional data analysis for microbiome surveys. Briefings In Bioinformatics 2024, 25: bbae205. PMID: 38701410, PMCID: PMC11066923, DOI: 10.1093/bib/bbae205.Peer-Reviewed Original ResearchConceptsComposition of microbiomesCompositional biasMicrobiome datasetsMicrobiome studiesProbiotic microbesMicrobiome surveysMicrobiome compositionMicrobial loadMicrobiomeMaximum likelihood estimationAbundance analysisAbundance levelsAbsolute abundanceAbundance dataAbundanceClinical phenotypeFeature tableLikelihood estimation of model parametersEnvironmental factorsMaximum likelihood estimation of model parametersEstimation of model parametersMicrobesState-of-the-art methodsOver-dispersionState-of-the-art
2017
Constructing Predictive Microbial Signatures at Multiple Taxonomic Levels
Wang T, Zhao H. Constructing Predictive Microbial Signatures at Multiple Taxonomic Levels. Journal Of The American Statistical Association 2017, 112: 1022-1031. DOI: 10.1080/01621459.2016.1270213.Peer-Reviewed Original ResearchBacterial taxaTaxonomic levelsMultiple taxonomic levelsDifferent taxonomic levelsDNA sequencing technologiesHuman microbiome studiesPhylogenetic treeHost phenotypeSequencing technologiesNormal human physiologyTaxaHuman microbiomeMicrobial signaturesMicrobiome studiesMicrobiome data analysisImportant groupMicrobiome dataHigh-dimensional compositional dataHuman physiologyRecent advancesMicrobesRapid advancesMajor goalMicrobiomePhenotype
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