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partCNV

Infer locally aneuploid cells using single cell RNA-seq data

Bioconductor version: 3.23 · Package version: 1.10.0

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).

Installation

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

BiocManager::install("partCNV")

Details

MaintainerZiyi Li <zli16@mdanderson.org>
AuthorZiyi Li [aut, cre, ctb], Ruoxing Li [ctb]
LicenseGPL-2
StatusDeprecated
Downloads rank166
Source branchRELEASE_3_23
biocViewsClassification, CopyNumberVariation, HiddenMarkovModel, SingleCell, Software

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Dependencies

Depends: R (>= 3.5.0)

Imports: stats, data.table, depmixS4, Seurat, SingleCellExperiment, AnnotationHub, magrittr, GenomicRanges, BiocStyle

Suggests: rmarkdown, knitr, IRanges, testthat (>= 3.0.0)