CBEA
This is the development version of CBEA; for the stable release version, see CBEA.
Competitive Balances for Taxonomic Enrichment Analysis in R
Bioconductor version: Development (3.21)
This package implements CBEA, a method to perform set-based analysis for microbiome relative abundance data. This approach constructs a competitive balance between taxa within the set and remainder taxa per sample. More details can be found in the Nguyen et al. 2021+ manuscript. Additionally, this package adds support functions to help users perform taxa-set enrichment analyses using existing gene set analysis methods. In the future we hope to also provide curated knowledge driven taxa sets.
Author: Quang Nguyen [aut, cre] (ORCID:
Maintainer: Quang Nguyen <quangpmnguyen at gmail.com>
citation("CBEA")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CBEA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | DataImport, GeneSetEnrichment, Metagenomics, Microbiome, Software |
Version | 1.7.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (2.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.2.0) |
Imports | BiocParallel, BiocSet, dplyr, lmom, fitdistrplus, magrittr, methods, mixtools, Rcpp (>= 1.0.7), stats, SummarizedExperiment, tibble, TreeSummarizedExperiment, tidyr, glue, generics, rlang, goftest |
System Requirements | |
URL | https://github.com/qpmnguyen/CBEA https://qpmnguyen.github.io/CBEA/ |
Bug Reports | https://github.com/qpmnguyen/CBEA//issues |
See More
Suggests | phyloseq, BiocStyle, covr, knitr, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0), tidyverse, roxygen2, mia, purrr |
Linking To | Rcpp |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/CBEA |
Source Repository (Developer Access) | git clone [email protected]:packages/CBEA |
Package Short Url | https://bioconductor.org/packages/CBEA/ |
Package Downloads Report | Download Stats |