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.
Package details |
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Author | Koen Van den Berge [aut], Hector Roux de Bezieux [aut, cre] (<https://orcid.org/0000-0002-1489-8339>), Kelly Street [ctb], Lieven Clement [ctb], Sandrine Dudoit [ctb] |
Bioconductor views | Clustering DifferentialExpression GeneExpression MultipleComparison RNASeq Regression Sequencing SingleCell Software TimeCourse Transcriptomics Visualization |
Maintainer | Hector Roux de Bezieux <hector.rouxdebezieux@berkeley.edu> |
License | MIT + file LICENSE |
Version | 1.4.0 |
URL | https://statomics.github.io/tradeSeq/index.html |
Package repository | View on Bioconductor |
Installation |
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