Package: scpoisson 0.0.1

scpoisson: Single Cell Poisson Probability Paradigm

Useful to visualize the Poissoneity (an independent Poisson statistical framework, where each RNA measurement for each cell comes from its own independent Poisson distribution) of Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore cell clustering based on model departure as a novel data representation.

Authors:Yue Pan [aut, cre], Justin Landis [aut], Dirk Dittmer [aut], James S. Marron [aut], Di Wu [aut]

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NEWS

# Install 'scpoisson' in R:
install.packages('scpoisson', repos = c('https://yuepan027.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

8 exports 0.00 score 187 dependencies 4 scripts 162 downloads

Last updated 2 years agofrom:b2c15f1caa. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:adj_CDF_logitdiff_gene_listget_example_dataHclustDepartLouvainDepartpara_est_newqqplot_env_poisscppp

Dependencies:abindAnnotationDbiaskpassbackportsbase64encBHBiobaseBiocGenericsBiostringsbitbit64bitopsblobbroombslibcachemcaToolscheckmatecliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdeldirdigestdoParalleldotCall64dplyrdqrngdynamicTreeCutevaluatefansifarverfastclusterfastDummiesfastmapfitdistrplusFNNfontawesomeforeachforeignFormulafsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataggplot2ggrepelggridgesglmpcaglobalsglueGO.dbgoftestgplotsgridExtragtablegtoolsherehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttricaigraphimputeIRangesirlbaisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelistenvlmtestmagrittrMASSMatrixmatrixStatsmemoisemgcvmimeminiUImunsellnlmennetopensslparallellypatchworkpbapplypillarpkgconfigplogrplotlyplyrpngpolyclippreprocessCoreprogressrpromisespurrrR6RANNrappdirsrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLRdpackreshape2reticulaterlangrmarkdownROCRrpartrprojrootRSpectraRSQLiterstudioapiRtsneS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexUCSC.utilsutf8uwotvctrsviridisviridisLiteWGCNAwithrxfunxtableXVectoryamlzlibbioczoo

A new Poisson probability paradigm for single cell RNA-seq clustering

Yue Pan

Rendered fromscpoissonmodel.Rmdusingknitr::rmarkdownon Aug 30 2024.

Last update: 2022-08-17
Started: 2022-08-17