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MetaDICT

Microbiome data integration method via shared dictionary learning

Bioconductor version: 3.23 · Package version: 1.2.0

MetaDICT is a method for the integration of microbiome data. This method is designed to remove batch effects and preserve biological variation while integrating heterogeneous datasets. MetaDICT can better avoid overcorrection when unobserved confounding variables are present.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MetaDICT")

Details

MaintainerBo Yuan <boyuan5@illinois.edu>
AuthorBo Yuan [aut, cre] (ORCID: <https://orcid.org/0009-0008-5428-4447>), Shulei Wang [aut]
LicenseArtistic-2.0
URLhttps://github.com/BoYuan07/MetaDICT
Bug Reportshttps://github.com/BoYuan07/MetaDICT/issues
Downloads rank115
Source branchRELEASE_3_23
biocViewsBatchEffect, Clustering, Microbiome, Sequencing, Software

Documentation

Download

Dependencies

Depends: R (>= 4.2.0)

Imports: stats, RANN, igraph, vegan, edgeR, ecodist, ggplot2, viridis, ggpubr, ape, cluster, matrixStats

Suggests: BiocStyle, knitr, rmarkdown, DT, ggraph, tidyverse, testthat (>= 3.0.0)