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oncomix

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

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

Identifying Genes Overexpressed in Subsets of Tumors from Tumor-Normal mRNA Expression Data


Bioconductor version: Release (3.23)

This package helps identify mRNAs that are overexpressed in subsets of tumors relative to normal tissue. Ideal inputs would be paired tumor-normal data from the same tissue from many patients (>15 pairs). This unsupervised approach relies on the observation that oncogenes are characteristically overexpressed in only a subset of tumors in the population, and may help identify oncogene candidates purely based on differences in mRNA expression between previously unknown subtypes.

Author: Daniel Pique, John Greally, Jessica Mar

Maintainer: Daniel Pique <daniel.pique at med.einstein.yu.edu>

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

Daniel Pique, John Greally, Jessica Mar. oncomix: Identifying Genes Overexpressed in Subsets of Tumors from Tumor-Normal mRNA Expression Data. doi:10.18129/B9.bioc.oncomix, R package version 1.34.0, https://bioconductor.org/packages/oncomix.

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("oncomix")

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("oncomix")
OncoMix Vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews GeneExpression, Sequencing, Software
Version1.34.0
In Bioconductor sinceBioC 3.6 (R-3.4) (9 years)
License GPL-3
Depends R (>= 3.4.0)
Imports ggplot2, ggrepel, RColorBrewer, mclust, stats, SummarizedExperiment
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Package Archives

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

Source Package oncomix_1.34.0.tar.gz
Windows Binary (x86_64) oncomix_1.34.0.zip
macOS Binary (big-sur-x86_64) oncomix_1.34.0.tgz
macOS Binary (sonoma-arm64) oncomix_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/oncomix
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/oncomix
Package Short Url https://bioconductor.org/packages/oncomix/
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