waddR
Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Bioconductor version: 3.23 · Package version: 1.26.0
The package offers statistical tests based on the 2-Wasserstein distance for detecting and characterizing differences between two distributions given in the form of samples. Functions for calculating the 2-Wasserstein distance and testing for differential distributions are provided, as well as a specifically tailored test for differential expression in single-cell RNA sequencing data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("waddR")Details
| Maintainer | Julian Flesch <julianflesch@gmail.com> |
| Author | Roman Schefzik [aut], Julian Flesch [cre] |
| License | MIT + file LICENSE |
| URL | https://github.com/goncalves-lab/waddR.git |
| Bug Reports | https://github.com/goncalves-lab/waddR/issues |
| Downloads rank | 168 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, SingleCell, Software, StatisticalMethod |
Documentation
- The waddR package
- 2-Wasserstein distance calculation
- Detection of differential gene expression distributions in single-cell RNA sequencing data
- Two-sample tests based on the 2-Wasserstein distance
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Dependencies
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.1), arm (>= 1.10-1), eva, BiocFileCache (>= 2.6.0), BiocParallel, SingleCellExperiment, parallel, methods, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, devtools, testthat, roxygen2, rprojroot, rmarkdown, scater