Bioconductor 3.23 Release Schedule

CrcBiomeScreen

This is the development version of CrcBiomeScreen; to use it, please install the devel version of Bioconductor.

An R package for colorectal cancer screening and microbiome analysis


Bioconductor version: Development (3.23)

A developed and benchmarked reproducible machine learning framework for microbiome-based colorectal cancer (CRC) screening. By systematically evaluating normalization strategies, taxonomic resolutions, and class imbalance handling. This R package allows users to apply the full pipeline or selectively run specific components depending on their analytical needs. It establishes a scalable foundation for developing interpretable microbiome-based screening tools to support early CRC detection. This approach could be easily implemented in a national screening programme, to improve early detection rates for this disease.

Author: Chengxin Li [cre, aut] ORCID iD ORCID: 0009-0004-0840-9027 , Rishabh Bezbaruah [aut], Henry Wood [aut], Arief Gusnanto [aut]

Maintainer: Chengxin Li <ngzh5554 at leeds.ac.uk>

Citation (from within R, enter citation("CrcBiomeScreen")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("CrcBiomeScreen")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CrcBiomeScreen")
CrcBiomeScreen HTML R Script
Reference Manual PDF

Details

biocViews Classification, Metagenomics, Microbiome, Normalization, Software, Visualization
Version 0.99.15
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.3.0)
Imports rlang, methods, dplyr, doFuture, doParallel, foreach, future, future.apply, pROC, progress, progressr, stats, tibble, tidyr, TreeSummarizedExperiment, ggplot2, GUniFrac, magrittr, parallel, withr, SummarizedExperiment, caret, ranger, utils, graphics, grDevices
System Requirements
URL https://github.com/omicsForestry/CrcBiomeScreen
Bug Reports https://github.com/omicsForestry/CrcBiomeScreen/issues
See More
Suggests rstatix, MASS, mgcv, ggplotify, ggpubr, ggrepel, ggtree, glmnet, Matrix, microbiome, phyloseq, vegan, gt, testthat (>= 3.0.0), BiocManager, devtools, knitr, rmarkdown, BiocStyle, curatedMetagenomicData, xgboost
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CrcBiomeScreen_0.99.15.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64) CrcBiomeScreen_0.99.15.tgz
Source Repository git clone https://git.bioconductor.org/packages/CrcBiomeScreen
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CrcBiomeScreen
Bioc Package Browser https://code.bioconductor.org/browse/CrcBiomeScreen/
Package Short Url https://bioconductor.org/packages/CrcBiomeScreen/
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