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partCNV

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see partCNV.

All versions 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18

Infer locally aneuploid cells using single cell RNA-seq data


Bioconductor version: Release (3.23)

This package uses a statistical framework for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. Our method uses an EM algorithm with mixtures of Poisson distributions while incorporating cytogenetics information (e.g., regional deletion or amplification) to guide the classification (partCNV). When applicable, we further improve the accuracy by integrating a Hidden Markov Model for feature selection (partCNVH).

Author: Ziyi Li [aut, cre, ctb], Ruoxing Li [ctb]

Maintainer: Ziyi Li <zli16 at mdanderson.org>

Citation (from within R, enter citation("partCNV")):

Ziyi Li. partCNV: Infer locally aneuploid cells using single cell RNA-seq data. doi:10.18129/B9.bioc.partCNV, R package version 1.9.0, https://bioconductor.org/packages/partCNV.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("partCNV")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("partCNV")
partCNV_vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, CopyNumberVariation, HiddenMarkovModel, SingleCell, Software
Version1.9.0
In Bioconductor sinceBioC 3.18 (R-4.3) (3 years)
License GPL-2
Depends R (>= 3.5.0)
Imports stats, data.table, depmixS4, Seurat, SingleCellExperiment, AnnotationHub, magrittr, GenomicRanges, BiocStyle
System Requirements
URL
See More
Suggests rmarkdown, knitr, IRanges, testthat (>= 3.0.0)
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Depends On Me
Imports Me
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Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package partCNV_1.9.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/partCNV
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/partCNV
Package Short Url https://bioconductor.org/packages/partCNV/
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