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Showing content from http://www.bioconductor.org/packages/devel/bioc/html/../../bioc/html/../../bioc/html/doseR.html below:

Bioconductor - doseR (development version)

doseR

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

doseR

Bioconductor version: Development (3.22)

doseR package is a next generation sequencing package for sex chromosome dosage compensation which can be applied broadly to detect shifts in gene expression among an arbitrary number of pre-defined groups of loci. doseR is a differential gene expression package for count data, that detects directional shifts in expression for multiple, specific subsets of genes, broad utility in systems biology research. doseR has been prepared to manage the nature of the data and the desired set of inferences. doseR uses S4 classes to store count data from sequencing experiment. It contains functions to normalize and filter count data, as well as to plot and calculate statistics of count data. It contains a framework for linear modeling of count data. The package has been tested using real and simulated data.

Author: AJ Vaestermark, JR Walters.

Maintainer: ake.vastermark <ake.vastermark at gmail.com>

Citation (from within R, enter citation("doseR")): 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("doseR")

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("doseR")
Details biocViews DataRepresentation, DifferentialExpression, GeneExpression, Infrastructure, Sequencing, Software, SystemsBiology Version 1.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL Depends R (>= 3.6) Imports edgeR, methods, stats, graphics, matrixStats, mclust, lme4, RUnit, SummarizedExperiment, digest, S4Vectors System Requirements URL See More Package Archives

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


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