This is the development version of partCNV; for the stable release version, see partCNV.
Infer locally aneuploid cells using single cell RNA-seq dataBioconductor version: Development (3.22)
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, entercitation("partCNV")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("partCNV")
Details biocViews Classification, CopyNumberVariation, HiddenMarkovModel, SingleCell, Software Version 1.7.0 In Bioconductor since BioC 3.18 (R-4.3) (1.5 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 Package Archives
Follow Installation instructions to use this package in your R session.
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