BreastSubtypeR
Cohort-aware methods for intrinsic molecular subtyping of breast cancer
Bioconductor version: 3.23 · Package version: 1.4.0
BreastSubtypeR provides an assumption-aware, multi-method framework for intrinsic molecular subtyping of breast cancer. The package harmonizes several published nearest-centroid (NC) and single-sample predictor (SSP) classifiers, supplies method-specific preprocessing and robust probe-to-gene mapping, and implements a cohort-aware AUTO mode that selectively enables classifiers compatible with the cohort composition. A local Shiny app (iBreastSubtypeR) is included for interactive analyses and to support users without programming experience.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BreastSubtypeR") Details
| Maintainer | Qiao Yang <yq.kiuo@gmail.com> |
| Author | Qiao Yang [aut, cre] (ORCID: <https://orcid.org/0000-0002-4098-3246>), Emmanouil G. Sifakis [aut] (ORCID: <https://orcid.org/0000-0001-9919-4471>) |
| License | GPL-3 |
| URL | https://doi.org/10.18129/B9.bioc.BreastSubtypeR,https://github.com/yqkiuo/BreastSubtypeR,https://github.com/JohanHartmanGroupBioteam/BreastSubtypeR |
| Bug Reports | https://github.com/yqkiuo/BreastSubtypeR/issues |
| Downloads rank | 170 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, GeneExpression, Preprocessing, RNASeq, Software, Visualization |
Documentation
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Dependencies
Depends: R (>= 4.5.0)
Imports: methods, Biobase, tidyselect, dplyr, ggplot2, magrittr, rlang, stringr, withr, edgeR, ComplexHeatmap, impute (>= 1.80.0), data.table (>= 1.16.0), RColorBrewer (>= 1.1-3), circlize (>= 0.4.16), ggrepel (>= 0.9.6), e1071 (>= 1.7-8), SummarizedExperiment, utils
Suggests: lifecycle, tidyverse, shiny (>= 1.9.1), bslib (>= 0.8.0), BiocStyle, knitr, rmarkdown, testthat