R package for microbiome biomarker discovery
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Updated
Nov 4, 2023 - R
R package for microbiome biomarker discovery
MaAsLin2: Microbiome Multivariate Association with Linear Models
Differential abundance (DA) and correlation analyses for microbial absolute abundance data
Archive: Data, scripts, and outputs for the Nat. Comm. paper "Analysis of Composition of Microbiomes with Bias Correction". Please check our ANCOMBC R package for the most up-to-date ANCOM-BC function.
Differential analysis of multi-omics data based on the Tweedie distribution
A manuscript exploring the effects of taxonomic bias on microbiome differential-abundance analysis.
Data, scripts, and outputs for the npj Biofilms and Microbiomes paper "Analysis of microbial compositions: A review of normalization and differential abundance analysis"
Large-scale Benchmarking of Microbial Multivariable Association Methods
A Bayesian model for the differential abundance analysis of microbiome sequencing data
Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.
Repository for course project in Bioinformatics Institute 2023-2024
Large-scale Benchmarking of Microbial Multivariable Association Methods
dar: runs multiple differential abundance analysis methods and through a consensus strategy returns a set of differentially abundant features.
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