Package: tradeSeq
Type: Package
Title: trajectory-based differential expression analysis for sequencing
        data
Date: 2019-03-17
Version: 1.8.0
Authors@R: c(person("Koen", "Van den Berge", role = c("aut"),
                     email = "koen.vandenberge@ugent.be"),
              person("Hector", "Roux de Bezieux", role = c("aut", "cre"),
                     email = "hector.rouxdebezieux@berkeley.edu",
		     comment = c(ORCID = "0000-0002-1489-8339")),
		person("Kelly","Street", role = c("aut","ctb")),
		person("Lieven","Clement", role=c("aut","ctb")),
		person("Sandrine","Dudoit", role="ctb"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
URL: https://statomics.github.io/tradeSeq/index.html
Depends: R (>= 3.6)
Collate: 'AllGenerics.R' 'utils.R' 'associationTest.R'
        'clusterExpressionPatterns.R' 'conditionTest.R' 'data.R'
        'diffEndTest.R' 'earlyDETest.R' 'evaluateK.R' 'fitGAM.R'
        'getSmootherPvalues.R' 'getSmootherTestStats.R' 'nknots.R'
        'patternTest.R' 'plotGeneCount.R' 'plotSmoothers.R'
        'predictCells.R' 'predictSmooth.R' 'startVsEndTest.R'
RoxygenNote: 7.1.1
Imports: mgcv, edgeR, SingleCellExperiment, SummarizedExperiment,
        slingshot, magrittr, RColorBrewer, BiocParallel, Biobase,
        pbapply, igraph, ggplot2, princurve, methods, S4Vectors,
        tibble, Matrix, TrajectoryUtils, viridis, matrixStats, MASS
Suggests: knitr, rmarkdown, testthat, covr, clusterExperiment
VignetteBuilder: knitr
biocViews: Clustering, Regression, TimeCourse, DifferentialExpression,
        GeneExpression, RNASeq, Sequencing, Software, SingleCell,
        Transcriptomics, MultipleComparison, Visualization
BugReports: https://github.com/statOmics/tradeSeq/issues
git_url: https://git.bioconductor.org/packages/tradeSeq
git_branch: RELEASE_3_14
git_last_commit: 0a323ec
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: no
Packaged: 2021-10-27 04:34:25 UTC; biocbuild
Author: Koen Van den Berge [aut],
  Hector Roux de Bezieux [aut, cre]
    (<https://orcid.org/0000-0002-1489-8339>),
  Kelly Street [aut, ctb],
  Lieven Clement [aut, ctb],
  Sandrine Dudoit [ctb]
Maintainer: Hector Roux de Bezieux <hector.rouxdebezieux@berkeley.edu>
Built: R 4.1.1; ; 2021-10-27 13:53:04 UTC; windows
