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hgu133plus2CellScore

This is the released version of hgu133plus2CellScore; for the devel version, see hgu133plus2CellScore.

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

CellScore Standard Cell Types Expression Dataset [hgu133plus2]


Bioconductor version: Release (3.23)

The CellScore Standard Dataset contains expression data from a wide variety of human cells and tissues, which should be used as standard cell types in the calculation of the CellScore. All data was curated from public databases such as Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) or ArrayExpress (https://www.ebi.ac.uk/arrayexpress/). This standard dataset only contains data from the Affymetrix GeneChip Human Genome U133 Plus 2.0 microarrays. Samples were manually annotated using the database information or consulting the publications in which the datasets originated. The sample annotations are stored in the phenoData slot of the expressionSet object. Raw data (CEL files) were processed with the affy package to generate present/absent calls (mas5calls) and background-subtracted values, which were then normalized by the R-package yugene to yield the final expression values for the standard expression matrix. The annotation table for the microarray was retrieved from the BioC annotation package hgu133plus2. All data are stored in an expressionSet object.

Author: Nancy Mah, Katerina Taskova

Maintainer: Nancy Mah <nancy.l.mah at googlemail.com>

Citation (from within R, enter citation("hgu133plus2CellScore")):

Nancy Mah, Katerina Taskova. hgu133plus2CellScore: CellScore Standard Cell Types Expression Dataset [hgu133plus2]. doi:10.18129/B9.bioc.hgu133plus2CellScore, R package version 1.32.0, https://bioconductor.org/packages/hgu133plus2CellScore.

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("hgu133plus2CellScore")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews ArrayExpress, ExperimentData, ExpressionData, GEO, Genome, Homo_sapiens_Data, MicroarrayData
Version1.32.0
In Bioconductor sinceBioC 3.7 (R-3.5) (8.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports Biobase (>= 2.39.1)
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Package Archives

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

Source Package hgu133plus2CellScore_1.32.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/hgu133plus2CellScore
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/hgu133plus2CellScore
Package Short Url https://bioconductor.org/packages/hgu133plus2CellScore/
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