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lumiBarnes

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

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, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Barnes Benchmark Illumina Tissues Titration Data


Bioconductor version: Development (3.24)

The Barnes benchmark dataset can be used to evaluate the algorithms for Illumina microarrays. It measured a titration series of two human tissues, blood and placenta, and includes six samples with the titration ratio of blood and placenta as 100:0, 95:5, 75:25, 50:50, 25:75 and 0:100. The samples were hybridized on HumanRef-8 BeadChip (Illumina, Inc) in duplicate. The data is loaded as an LumiBatch Object (see documents in the lumi package).

Author: Pan Du

Maintainer: Pan Du <dupan at northwestern.edu>

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

Pan Du. lumiBarnes: Barnes Benchmark Illumina Tissues Titration Data. doi:10.18129/B9.bioc.lumiBarnes, R package version 1.53.0, https://bioconductor.org/packages/lumiBarnes.

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("lumiBarnes")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews ChipOnChipData, ExperimentData, MicroarrayData, Tissue
Version1.53.0
In Bioconductor sinceBioC 2.5 (R-2.10) or earlier (> 17 years)
License LGPL
Depends R (>= 2.0), Biobase (>= 2.5.5), lumi (>= 1.1.0)
Imports
System Requirements
URL
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Depends On Me
Imports Me
Suggests Me arrayMvout, lumi
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Build Report Build Report, r-universe

Package Archives

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

Source Package lumiBarnes_1.53.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/lumiBarnes
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lumiBarnes
Package Short Url https://bioconductor.org/packages/lumiBarnes/
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