HVP
Hierarchical Variance Partitioning
Bioconductor version: 3.24 · Package version: 1.3.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
HVP is a quantitative batch effect metric that estimates the proportion of variance associated with batch effects in a data set.
DOI: 10.18129/B9.bioc.HVP
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HVP")Details
| Maintainer | Wei Xin Chan <cweixin@gmail.com> |
| Author | Wei Xin Chan [aut, cre] (ORCID: <https://orcid.org/0000-0003-3193-9195>) |
| License | MIT + file LICENSE |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, GeneExpression, SingleCell, Software, Transcriptomics |
| Package Short Url | https://bioconductor.org/packages/HVP/ |
Citation
From within R, enter citation("HVP"):
Wei Xin Chan. HVP: Hierarchical Variance Partitioning. doi:10.18129/B9.bioc.HVP, R package version 1.3.0, https://bioconductor.org/packages/HVP.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | HVP_1.3.0.tar.gz |
| Windows binary (x86_64) | HVP_1.3.0.zip |
| macOS binary (arm64) | HVP_1.3.0.tgz |
| macOS binary (x86_64) | HVP_1.3.0.tgz |
Dependencies
Imports: Matrix, methods, stats
Suggests: SingleCellExperiment, SummarizedExperiment, Seurat, SeuratObject, ggplot2, progress, testthat, splatter, scater, devtools, knitr, rmarkdown, BiocStyle, ExperimentHub