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'))

Peer review:

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 396 downloads 16 mentions 6 exports 119 dependencies

Last updated 2 months agofrom:11f58e6db7. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-winNOTENov 30 2024
R-4.5-linuxNOTENov 30 2024
R-4.4-winNOTENov 30 2024
R-4.4-macNOTENov 30 2024
R-4.3-winNOTENov 30 2024
R-4.3-macNOTENov 30 2024

Exports:preprocessresultsscDDsideViolinsimulateSettestKS

Dependencies:abindarmaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsblockmodelingblusterbootbriocallrcaToolscliclustercodacodetoolscolorspacecpp11crayoncurlDelayedArraydescdiffobjdigestdotCall64dqrngEBSeqedgeRevaluatefansifarverfieldsformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshttrigraphIRangesirlbaisobandjsonliteKernSmoothlabelinglambda.rlatticelifecyclelimmalme4locfitmagrittrmapsMASSMatrixMatrixGenericsmatrixStatsmclustmetapodmgcvmimeminqamunsellnlmenloptropenssloutlierspillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppEigenrlangrprojrootrsvdS4ArraysS4VectorsScaledMatrixscalesscranscuttleSingleCellExperimentsitmosnowspamSparseArraystatmodSummarizedExperimentsystestthattibbleUCSC.utilsutf8vctrsviridisLitewaldowithrXVectorzlibbioc

scDD Quickstart

Rendered fromscDD.Rnwusingknitr::knitron Nov 30 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