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
| Maintainer | Chengxin Li <ngzh5554@leeds.ac.uk> |
| Author | Chengxin Li [cre, aut] (ORCID: <https://orcid.org/0009-0004-0840-9027>), Rishabh Bezbaruah [aut], Henry Wood [aut], Arief Gusnanto [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/omicsForestry/CrcBiomeScreen |
| Bug Reports | https://github.com/omicsForestry/CrcBiomeScreen/issues |
| Downloads rank | 52 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, 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