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metaSeq

This is the released version of metaSeq; for the devel version, see metaSeq.

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, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13

Meta-analysis of RNA-Seq count data in multiple studies


Bioconductor version: Release (3.23)

The probabilities by one-sided NOISeq are combined by Fisher's method or Stouffer's method

Author: Koki Tsuyuzaki, Itoshi Nikaido

Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>

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

Koki Tsuyuzaki, Itoshi Nikaido. metaSeq: Meta-analysis of RNA-Seq count data in multiple studies. doi:10.18129/B9.bioc.metaSeq, R package version 1.52.0, https://bioconductor.org/packages/metaSeq.

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")

BiocManager::install("metaSeq")

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("metaSeq")
metaSeq PDF R Script
Reference ManualPDF

Details

biocViews DifferentialExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version1.52.0
In Bioconductor sinceBioC 2.13 (R-3.0) (13 years)
License Artistic-2.0
Depends R (>= 2.13.0), NOISeq, snow, Rcpp
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Package Archives

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

Source Package metaSeq_1.52.0.tar.gz
Windows Binary (x86_64) metaSeq_1.52.0.zip
macOS Binary (big-sur-x86_64) metaSeq_1.52.0.tgz
macOS Binary (sonoma-arm64) metaSeq_1.52.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/metaSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/metaSeq
Package Short Url https://bioconductor.org/packages/metaSeq/
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