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SeqGate

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12

Filtering of Lowly Expressed Features

DOI: 10.18129/B9.bioc.SeqGate

Bioconductor version: Development (3.24)

Filtering of lowly expressed features (e.g. genes) is a common step before performing statistical analysis, but an arbitrary threshold is generally chosen. SeqGate implements a method that rationalize this step by the analysis of the distibution of counts in replicate samples. The gate is the threshold above which sequenced features can be considered as confidently quantified.

Author: Christelle Reynès [aut], Stéphanie Rialle [aut, cre]

Maintainer: Stéphanie Rialle <stephanie.rialle at mgx.cnrs.fr>

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

Christelle Reynès, Stéphanie Rialle. SeqGate: Filtering of Lowly Expressed Features. doi:10.18129/B9.bioc.SeqGate, R package version 1.23.0, https://bioconductor.org/packages/SeqGate.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("SeqGate")

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("SeqGate")

Details

Package Archives

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