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 5 scripts 244 downloads 5 exports 179 dependencies

Last updated from:089046f7fa (on RELEASE_3_23). Checks:1 WARNING, 3 ERROR, 5 FAIL, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksWARNING232
linux-devel-x86_64ERROR495
source / vignettesERROR349
linux-release-x86_64ERROR486
macos-release-arm64FAIL109
macos-oldrel-arm64FAIL74
windows-develFAIL105
windows-releaseFAIL97
windows-oldrelFAIL103
wasm-releaseOK204

Exports:GetCytoLocationGetExprCountCytoNormalizeCountspartCNVpartCNVH

Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocStyleBiocVersionBiostringsbitbit64bitopsblobbookdownbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydeldirdepmixS4digestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfilelockfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttrhttr2icaigraphIRangesirlbaisobandjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInlmennetnumDerivopensslotelparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRsolnpRSpectraRSQLiteRtsneS4ArraysS4VectorsS7sassscalesscattermoresctransformSeqinfoSeuratSeuratObjectshinySingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytextruncnormutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlzoo