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antiProfilesData

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

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, 2.12

Normal colon and cancer preprocessed affy data for antiProfile building.


Bioconductor version: Release (3.23)

Colon normal tissue and cancer samples used in Corrada Bravo, et al. gene expression anti-profiles paper: BMC Bioinformatics 2012, 13:272 doi:10.1186/1471-2105-13-272. Measurements are z-scores obtained from the GeneExpression Barcode in the 'frma' package

Author: Hector Corrada Bravo, Matthew McCall and Rafael A. Irizarry

Maintainer: Hector Corrada Bravo <hcorrada at gmail.com>

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

Hector Corrada Bravo, Matthew McCall and Rafael A. Irizarry. antiProfilesData: Normal colon and cancer preprocessed affy data for antiProfile building. doi:10.18129/B9.bioc.antiProfilesData, R package version 1.48.0, https://bioconductor.org/packages/antiProfilesData.

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("antiProfilesData")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews CancerData, ColonCancerData, ExperimentData, MicroarrayData, Tissue
Version1.48.0
In Bioconductor sinceBioC 2.12 (R-3.0) (13.5 years)
License Artistic-2.0
Depends Biobase
Imports
System Requirements
URL
See More
Suggests frma, GEOquery, GEOmetadb
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me antiProfiles, epivizr, epivizrChart, messina
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package antiProfilesData_1.48.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/antiProfilesData
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/antiProfilesData
Package Short Url https://bioconductor.org/packages/antiProfilesData/
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