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'))

On CRAN:

Conda:

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

2.70 score 4 scripts 169 downloads 8 exports 186 dependencies

Last updated 3 years agofrom:b2c15f1caa. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-winNOTEFeb 26 2025
R-4.5-macNOTEFeb 26 2025
R-4.5-linuxNOTEFeb 26 2025
R-4.4-winNOTEFeb 26 2025
R-4.4-macNOTEFeb 26 2025
R-4.3-winOKFeb 26 2025
R-4.3-macOKFeb 26 2025

Exports:adj_CDF_logitdiff_gene_listget_example_dataHclustDepartLouvainDepartpara_est_newqqplot_env_poisscppp

Dependencies:abindAnnotationDbiaskpassbackportsbase64encBHBiobaseBiocGenericsBiostringsbitbit64bitopsblobbroombslibcachemcaToolscheckmatecliclustercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdeldirdigestdoParalleldotCall64dplyrdqrngdynamicTreeCutevaluatefansifarverfastclusterfastDummiesfastmapfitdistrplusFNNfontawesomeforeachforeignFormulafsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataggplot2ggrepelggridgesglmpcaglobalsglueGO.dbgoftestgplotsgridExtragtablegtoolsherehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttricaigraphimputeIRangesirlbaisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevalleidenbaselifecyclelistenvlmtestmagrittrMASSMatrixmatrixStatsmemoisemgcvmimeminiUImunsellnlmennetopensslparallellypatchworkpbapplypillarpkgconfigplogrplotlyplyrpngpolyclippreprocessCoreprogressrpromisespurrrR6RANNrappdirsrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLRdpackreshape2reticulaterlangrmarkdownROCRrpartrprojrootRSpectraRSQLiterstudioapiRtsneS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexUCSC.utilsutf8uwotvctrsviridisviridisLiteWGCNAwithrxfunxtableXVectoryamlzoo

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

Yue Pan

Rendered fromscpoissonmodel.Rmdusingknitr::rmarkdownon Feb 26 2025.

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