Package: scDD 1.29.0

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'))

Peer review:

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

Datasets:

On BioConductor:scDD-1.29.0(bioc 3.20)scDD-1.28.0(bioc 3.19)

immunooncologybayesianclusteringrnaseqsinglecellmultiplecomparisonvisualizationdifferentialexpression

6 exports 32 stars 7.90 score 119 dependencies 16 mentions 50 scripts 365 downloads

Last updated 5 months agofrom:36ce326e82. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winNOTESep 15 2024
R-4.5-linuxNOTESep 15 2024
R-4.4-winNOTESep 15 2024
R-4.4-macNOTESep 15 2024
R-4.3-winNOTESep 15 2024
R-4.3-macNOTESep 15 2024

Exports:preprocessresultsscDDsideViolinsimulateSettestKS

Dependencies:abindarmaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsblockmodelingblusterbootbriocallrcaToolscliclustercodacodetoolscolorspacecpp11crayoncurlDelayedArraydescdiffobjdigestdotCall64dqrngEBSeqedgeRevaluatefansifarverfieldsformatRfsfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshttrigraphIRangesirlbaisobandjsonliteKernSmoothlabelinglambda.rlatticelifecyclelimmalme4locfitmagrittrmapsMASSMatrixMatrixGenericsmatrixStatsmclustmetapodmgcvmimeminqamunsellnlmenloptropenssloutlierspillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppEigenrematch2rlangrprojrootrsvdS4ArraysS4VectorsScaledMatrixscalesscranscuttleSingleCellExperimentsitmosnowspamSparseArraystatmodSummarizedExperimentsystestthattibbleUCSC.utilsutf8vctrsviridisLitewaldowithrXVectorzlibbioc

scDD Quickstart

Rendered fromscDD.Rnwusingknitr::knitron Sep 15 2024.

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