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CrcBiomeScreen

An R package for colorectal cancer screening and microbiome analysis

Bioconductor version: 3.23 · Package version: 1.0.0

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.

Installation

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

BiocManager::install("CrcBiomeScreen")

Details

MaintainerChengxin Li <ngzh5554@leeds.ac.uk>
AuthorChengxin Li [cre, aut] (ORCID: <https://orcid.org/0009-0004-0840-9027>), Rishabh Bezbaruah [aut], Henry Wood [aut], Arief Gusnanto [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/omicsForestry/CrcBiomeScreen
Bug Reportshttps://github.com/omicsForestry/CrcBiomeScreen/issues
Downloads rank52
Source branchRELEASE_3_23
biocViewsClassification, Metagenomics, Microbiome, Normalization, Software, Visualization

Documentation

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Dependencies

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

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