Package: partCNV 1.10.0

Ziyi Li

partCNV: Infer locally aneuploid cells using single cell RNA-seq data

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).

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

partCNV_1.10.0.tar.gz
partCNV_1.10.0.zip(r-4.7-any)partCNV_1.10.0.zip(r-4.6-any)partCNV_1.10.0.zip(r-4.5-any)
partCNV_1.10.0.tgz(r-4.6-any)partCNV_1.10.0.tgz(r-4.5-any)
partCNV_1.10.0.tar.gz(r-4.7-any)partCNV_1.10.0.tar.gz(r-4.6-any)
partCNV_1.10.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
partCNV/json (API)

# Install 'partCNV' in R:
install.packages('partCNV', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Hg38_gtf - GTF data for Hg38 genome
  • SimData - Simulation data to examplify the usage of the method
  • SimDataSce - Simulation SingleCellExperiment object to examplify the usage of the method

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwarecopynumbervariationhiddenmarkovmodelsinglecellclassification

2.18 score 8 scripts 258 downloads 5 exports 180 dependencies

Last updated from:089046f7fa (on RELEASE_3_23). Checks:1 WARNING, 8 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksWARNING227
linux-develERROR556
source / vignettesERROR334
linux-releaseERROR691
macos-releaseERROR467
macos-oldrelERROR472
windows-develERROR303
windows-releaseERROR386
windows-oldrelERROR378
wasm-releaseOK199

Exports:GetCytoLocationGetExprCountCytoNormalizeCountspartCNVpartCNVH

Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocStyleBiocVersionBiostringsbitbit64bitopsblobbookdownbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydeldirdepmixS4digestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfilelockfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttrhttr2icaigraphIRangesirlbaisobandjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInlmennetnumDerivopensslotelparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppThreadRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRsolnpRSpectraRSQLiteRtsneS4ArraysS4VectorsS7sassscalesscattermoresctransformSeqinfoSeuratSeuratObjectshinySingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytextruncnormutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlzoo