Package: partCNV 1.5.0

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_1.5.0.tar.gz
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partCNV_1.5.0.tgz(r-4.4-any)partCNV_1.5.0.tgz(r-4.3-any)
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partCNV_1.5.0.tgz(r-4.4-emscripten)
partCNV.pdf |partCNV.html
partCNV/json (API)
NEWS

# Install 'partCNV' in R:
install.packages('partCNV', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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 BioConductor:partCNV-1.3.1(bioc 3.20)partCNV-1.2.0(bioc 3.19)

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

softwarecopynumbervariationhiddenmarkovmodelsinglecellclassification

4.18 score 4 scripts 114 downloads 5 exports 183 dependencies

Last updated 23 days agofrom:91c5b2295c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:GetCytoLocationGetExprCountCytoNormalizeCountspartCNVpartCNVH

Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsBiocManagerBiocStyleBiocVersionBiostringsbitbit64bitopsblobbookdownbslibcachemcaToolscliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydeldirdepmixS4digestdotCall64dplyrdqrngevaluatefansifarverfastDummiesfastmapfilelockfitdistrplusFNNfontawesomefsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUImunsellnlmennetopensslparallellypatchworkpbapplypillarpkgconfigplogrplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRsolnpRSpectraRSQLiteRtsneS4ArraysS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinySingleCellExperimentsitmosourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytextruncnormUCSC.utilsutf8uwotvctrsviridisLitewithrxfunxtableXVectoryamlzlibbioczoo

Identify locally aneuploid cells from scRNA-seq using partCNV

Rendered frompartCNV_vignette.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-05-03
Started: 2022-11-29