This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see microbiomeMarker.
Bioconductor version: 3.15
To date, a number of methods have been developed for microbiome marker discovery based on metagenomic profiles, e.g. LEfSe. However, all of these methods have its own advantages and disadvantages, and none of them is considered standard or universal. Moreover, different programs or softwares may be development using different programming languages, even in different operating systems. Here, we have developed an all-in-one R package microbiomeMarker that integrates commonly used differential analysis methods as well as three machine learning-based approaches, including Logistic regression, Random forest, and Support vector machine, to facilitate the identification of microbiome markers.
Author: Yang Cao [aut, cre]
Maintainer: Yang Cao <caoyang.name at gmail.com>
Citation (from within R,
enter citation("microbiomeMarker")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("microbiomeMarker")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("microbiomeMarker")
HTML | R Script | Tools for microbiome marker identification |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, Metagenomics, Microbiome, Software |
Version | 1.2.2 |
In Bioconductor since | BioC 3.14 (R-4.1) (1 year) |
License | GPL-3 |
Depends | R (>= 4.1.0) |
Imports | dplyr, phyloseq, magrittr, purrr, MASS, utils, ggplot2, tibble, rlang, stats, coin, ggtree, tidytree, methods, IRanges, tidyr, patchwork, ggsignif, metagenomeSeq, DESeq2, edgeR, BiocGenerics, Biostrings, yaml, biomformat, S4Vectors, Biobase, ComplexHeatmap, ANCOMBC, caret, limma, ALDEx2, multtest, plotROC, vegan, pROC, BiocParallel |
LinkingTo | |
Suggests | testthat, covr, glmnet, Matrix, kernlab, e1071, ranger, knitr, rmarkdown, BiocStyle, withr |
SystemRequirements | |
Enhances | |
URL | https://github.com/yiluheihei/microbiomeMarker |
BugReports | https://github.com/yiluheihei/microbiomeMarker/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | microbiomeMarker_1.2.2.tar.gz |
Windows Binary | microbiomeMarker_1.2.2.zip |
macOS Binary (x86_64) | microbiomeMarker_1.2.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/microbiomeMarker |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/microbiomeMarker |
Package Short Url | https://bioconductor.org/packages/microbiomeMarker/ |
Package Downloads Report | Download Stats |
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