MetaDICT
Microbiome data integration method via shared dictionary learning
Bioconductor version: 3.24 · Package version: 1.3.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Bo Yuan <boyuan5@illinois.edu> |
| Author | Bo Yuan [aut, cre] (ORCID: <https://orcid.org/0009-0008-5428-4447>), Shulei Wang [aut] |
| License | Artistic-2.0 |
| URL | https://github.com/BoYuan07/MetaDICT |
| Bug Reports | https://github.com/BoYuan07/MetaDICT/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, Clustering, Microbiome, Sequencing, Software |
| Package Short Url | https://bioconductor.org/packages/MetaDICT/ |
Citation
From within R, enter citation("MetaDICT"):
Bo Yuan, Shulei Wang. MetaDICT: Microbiome data integration method via shared dictionary learning. doi:10.18129/B9.bioc.MetaDICT, R package version 1.3.0, https://bioconductor.org/packages/MetaDICT.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MetaDICT_1.3.0.tar.gz |
| Windows binary (x86_64) | MetaDICT_1.3.0.zip |
| macOS binary (arm64) | MetaDICT_1.3.0.tgz |
| macOS binary (x86_64) | MetaDICT_1.3.0.tgz |