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Showing content from https://www.bioconductor.org/packages/devel/bioc/html/../html/tradeSeq.html below:

Bioconductor - tradeSeq (development version)

tradeSeq

This is the development version of tradeSeq; for the stable release version, see tradeSeq.

trajectory-based differential expression analysis for sequencing data

Bioconductor version: Development (3.22)

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.

Author: Koen Van den Berge [aut], Hector Roux de Bezieux [aut, cre] ORCID: 0000-0002-1489-8339 , Kelly Street [aut, ctb], Lieven Clement [aut, ctb], Sandrine Dudoit [ctb]

Maintainer: Hector Roux de Bezieux <hector.rouxdebezieux at berkeley.edu>

Citation (from within R, enter citation("tradeSeq")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("tradeSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("tradeSeq")
Details biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, RNASeq, Regression, Sequencing, SingleCell, Software, TimeCourse, Transcriptomics, Visualization Version 1.23.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License MIT + file LICENSE Depends R (>= 3.6) Imports mgcv, edgeR, SingleCellExperiment, SummarizedExperiment, slingshot, magrittr, RColorBrewer, BiocParallel, Biobase, pbapply, igraph, ggplot2, princurve, methods, S4Vectors, tibble, Matrix, TrajectoryUtils, viridis, matrixStats, MASS System Requirements URL https://statomics.github.io/tradeSeq/index.html Bug Reports https://github.com/statOmics/tradeSeq/issues See More Package Archives

Follow Installation instructions to use this package in your R session.


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