Package: tradeSeq 1.19.0

Hector Roux de Bezieux

tradeSeq: trajectory-based differential expression analysis for sequencing data

tradeSeq provides a flexible method for fitting regression models that can be used to find genes that are differentially expressed along one or multiple lineages in a trajectory. Based on the fitted models, it uses a variety of tests suited to answer different questions of interest, e.g. the discovery of genes for which expression is associated with pseudotime, or which are differentially expressed (in a specific region) along the trajectory. It fits a negative binomial generalized additive model (GAM) for each gene, and performs inference on the parameters of the GAM.

Authors:Koen Van den Berge [aut], Hector Roux de Bezieux [aut, cre], Kelly Street [aut, ctb], Lieven Clement [aut, ctb], Sandrine Dudoit [ctb]

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

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

Peer review:

Bug tracker:https://github.com/statomics/tradeseq/issues

Datasets:
  • celltype - A vector defining cell types, used in the package vignette.
  • countMatrix - A count matrix, used in the package vignette.
  • crv - A SlingshotDataset object, used in the package vignette.
  • gamList - A list of GAM models, used to demonstrate the various tests.
  • sds - A SlingshotDataset object, used in the package unit tests.

On BioConductor:tradeSeq-1.19.0(bioc 3.20)tradeSeq-1.18.0(bioc 3.19)

bioconductor-package

17 exports 0.61 score 75 dependencies 6 mentions

Last updated 2 months agofrom:e85d386743

Exports:associationTestclusterExpressionPatternsconditionTestdiffEndTestearlyDETestevaluateKfitGAMgetSmootherPvaluesgetSmootherTestStatsnknotspatternTestplot_evalutateK_resultsplotGeneCountplotSmootherspredictCellspredictSmoothstartVsEndTest

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurlDelayedArrayedgeRfansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegridExtragtablehttrigraphIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpbapplypillarpkgconfigprincurveR6RColorBrewerRcpprlangS4ArraysS4VectorsscalesSingleCellExperimentslingshotsnowSparseArraystatmodSummarizedExperimentsystibbleTrajectoryUtilsUCSC.utilsutf8vctrsviridisviridisLitewithrXVectorzlibbioc

Working with multiple conditions

Rendered frommultipleConditions.Rmdusingknitr::rmarkdownon Jun 24 2024.

Last update: 2020-10-16
Started: 2020-10-16

Using Monocle as input to tradeSeq

Rendered fromMonocle.Rmdusingknitr::rmarkdownon Jun 24 2024.

Last update: 2021-07-02
Started: 2020-04-24

Fitting the models and additional control of fitGAM in tradeSeq

Rendered fromfitGAM.Rmdusingknitr::rmarkdownon Jun 24 2024.

Last update: 2021-03-30
Started: 2020-04-24

The tradeSeq workflow

Rendered fromtradeSeq.Rmdusingknitr::rmarkdownon Jun 24 2024.

Last update: 2021-11-19
Started: 2019-03-15

Readme and manuals

Help Manual

Help pageTopics
Perform statistical test to check whether gene expression is constant across pseudotime within a lineageassociationTest associationTest,list-method associationTest,SingleCellExperiment-method
A vector defining cell types, used in the package vignette.celltype
Cluster gene expression patterns.clusterExpressionPatterns clusterExpressionPatterns,list-method clusterExpressionPatterns,SingleCellExperiment-method
Assess differential expression patterns between conditions within a lineage.conditionTest conditionTest,SingleCellExperiment-method
A count matrix, used in the package vignette.countMatrix
A SlingshotDataset object, used in the package vignette.crv
Perform statistical test to check for DE between final stages of every lineage.diffEndTest diffEndTest,list-method diffEndTest,SingleCellExperiment-method
Perform test of early differences between lineagesearlyDETest earlyDETest,list-method earlyDETest,SingleCellExperiment-method
Evaluate the optimal number of knots required for fitGAM.evaluateK evaluateK,dgCMatrix-method evaluateK,matrix-method evaluateK,SingleCellExperiment-method
fitGAMfitGAM fitGAM,dgCMatrix-method fitGAM,matrix-method fitGAM,SingleCellExperiment-method
A list of GAM models, used to demonstrate the various tests.gamList
Get smoother p-value as returned by 'mgcv'.getSmootherPvalues
Get smoother Chi-squared test statistics.getSmootherTestStats
knotsnknots nknots,list-method nknots,SingleCellExperiment-method
Assess differential expression pattern between lineages.patternTest patternTest,list-method patternTest,SingleCellExperiment-method
Evaluate an appropriate number of knots.plot_evalutateK_results
Plot gene expression in reduced dimension.plotGeneCount plotGeneCount,PseudotimeOrdering-method plotGeneCount,SingleCellExperiment-method plotGeneCount,SlingshotDataSet-method
Plot the log-transformed counts and the fitted values for a particular gene along all lineagesplotSmoothers plotSmoothers,gam-method plotSmoothers,SingleCellExperiment-method
predictCellspredictCells predictCells,list-method predictCells,SingleCellExperiment-method
predictSmoothpredictSmooth predictSmooth,list-method predictSmooth,SingleCellExperiment-method
A SlingshotDataset object, used in the package unit tests.sds
Perform statistical test to check for DE between starting point and the end stages of every lineagestartVsEndTest startVsEndTest,list-method startVsEndTest,SingleCellExperiment-method