Package: scDD 1.31.0

Keegan Korthauer

scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.

Authors:Keegan Korthauer [cre, aut]

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scDD.pdf |scDD.html
scDD/json (API)
NEWS

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

Bug tracker:https://github.com/kdkorthauer/scdd/issues

Datasets:

On BioConductor:scDD-1.31.0(bioc 3.21)scDD-1.30.0(bioc 3.20)

immunooncologybayesianclusteringrnaseqsinglecellmultiplecomparisonvisualizationdifferentialexpression

7.90 score 32 stars 50 scripts 450 downloads 16 mentions 6 exports 121 dependencies

Last updated 4 months agofrom:11f58e6db7. Checks:1 OK, 6 NOTE, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-winNOTEJan 29 2025
R-4.5-macWARNINGJan 29 2025
R-4.5-linuxNOTEJan 29 2025
R-4.4-winNOTEJan 29 2025
R-4.4-macNOTEJan 29 2025
R-4.3-winNOTEJan 29 2025
R-4.3-macNOTEJan 29 2025

Exports:preprocessresultsscDDsideViolinsimulateSettestKS

Dependencies:abindarmaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsblockmodelingblusterbootbriocallrcaToolscliclustercodacodetoolscolorspacecpp11crayoncurlDelayedArraydescdiffobjdigestdotCall64dqrngEBSeqedgeRevaluatefansifarverfieldsformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshttrigraphIRangesirlbaisobandjsonliteKernSmoothlabelinglambda.rlatticelifecyclelimmalme4locfitmagrittrmapsMASSMatrixMatrixGenericsmatrixStatsmclustmetapodmgcvmimeminqamunsellnlmenloptropenssloutlierspillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrprojrootrsvdS4ArraysS4VectorsScaledMatrixscalesscranscuttleSingleCellExperimentsitmosnowspamSparseArraystatmodSummarizedExperimentsystestthattibbleUCSC.utilsutf8vctrsviridisLitewaldowithrXVector

scDD Quickstart

Rendered fromscDD.Rnwusingknitr::knitron Jan 29 2025.

Last update: 2018-03-23
Started: 2016-12-14

Readme and manuals

Help Manual

Help pageTopics
calcMVcalcMV
calcRPcalcRP
classifyDDclassifyDD
feDPfeDP
findFCfindFC
findIndexfindIndex
findOutliersfindOutliers
getPosteriorParamsgetPosteriorParams
jointPosteriorjointPosterior
lulu
luOutlierluOutlier
mclustRestrictedmclustRestricted
permMclustpermMclust
permMclustCovpermMclustCov
permMclustGenepermMclustGene
permZeropermZero
preprocesspreprocess
resultsresults
Data: Toy example datascDatEx
Data: Toy example data listscDatExList
Data: Toy example of simulated datascDatExSim
scDDscDD
sideHistsideHist
sideViolinsideViolin
simuDBsimuDB
simuDEsimuDE
simuDMsimuDM
simuDPsimuDP
simulateSetsimulateSet
singleCellSimusingleCellSimu
testKStestKS
testZeroestestZeroes
validationvalidation