Article

An Exponential Scale Mixture Model for Metatranscriptomics Data with Application to Inflammatory Bowel Disease

2026-05-15

Abstract excerpt

Metatranscriptomic (MTX) sequencing enables profiling of gene expression across microbial communities, providing a framework for linking genetic potential with functional activity. However, standard pipelines report normalized abundances rather than raw counts, limiting the use of count-based RNA-seq methods, while Gaussian-based alternatives rely on transformations and assumptions that are often poorly suited to...

Topics

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

Identifiers and source

Literature Corpus work: 1f3ef742-89fb-5203-8a19-9a5e898240bf
DOI: 10.64898/2026.05.15.725552

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Exponential Scale Mixture Model for Metatranscriptomics Data with Application to Inflammatory Bowel DiseaseDOI 10.64898/2026.05.15.725552Read

ENIGMA: An Enterotype-Like Unigram Mixture Model for Microbial Association AnalysisSemantic proximity Read

The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) frameworkSemantic proximity Read

Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics dataSemantic proximity Read

Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) frameworkSemantic proximity Read

Mining Transcriptional Data for Precision Medicine: Bioinformatics Insights into Inflammatory Bowel DiseaseSemantic proximity Read

Poly-omic risk scores predict inflammatory bowel disease diagnosis.Semantic proximity Read

metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effect modelsSemantic proximity Read

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

Comparison of the effectiveness of different normalization methods for metagenomic cross-study phenotype prediction under heterogeneitySemantic proximity Read

Distinct metabolic network states manifest in the gene expression profiles of pediatric inflammatory bowel disease patients and controls.Semantic proximity Read

Enhancing inference of differential gene expression in metatranscriptomes from human microbial communitiesSemantic proximity Read

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