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.
🦠Research 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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