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
| 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 |
| Downloads rank | 252 |
| Source branch | RELEASE_3_23 |
| biocViews | BatchEffect, Clustering, Microbiome, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MetaDICT_1.2.0.tar.gz |
| Windows binary (x86_64) | MetaDICT_1.2.0.zip |
| macOS binary (arm64) | MetaDICT_1.2.0.tgz |
| macOS binary (x86_64) | MetaDICT_1.2.0.tgz |