This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

partCNV

This is the development version of partCNV; to use it, please install the devel version of Bioconductor.

Infer locally aneuploid cells using single cell RNA-seq data

Bioconductor version: Development (3.18)

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")):

Installation

To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 Manual PDF
NEWS Text

Details

biocViews Classification, CopyNumberVariation, HiddenMarkovModel, SingleCell, Software
Version 0.99.10
In Bioconductor since BioC 3.18 (R-4.3)
License GPL-2
Depends R (>= 3.5.0)
Imports stats, data.table, depmixS4, Seurat, SingleCellExperiment, AnnotationHub, magrittr, GenomicRanges
Linking To
Suggests BiocStyle, rmarkdown, knitr, IRanges, testthat (>= 3.0.0)
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package partCNV_0.99.10.tar.gz
Windows Binary partCNV_0.99.10.zip
macOS Binary (x86_64) partCNV_0.99.10.tgz
macOS Binary (arm64) partCNV_0.99.10.tgz
Source Repository git clone https://git.bioconductor.org/packages/partCNV
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/partCNV
Bioc Package Browser https://code.bioconductor.org/browse/partCNV/
Package Short Url https://bioconductor.org/packages/partCNV/
Package Downloads Report Download Stats