DOI: 10.18129/B9.bioc.CellScore  

Tool for Evaluation of Cell Identity from Transcription Profiles

Bioconductor version: Release (3.17)

The CellScore package contains functions to evaluate the cell identity of a test sample, given a cell transition defined with a starting (donor) cell type and a desired target cell type. The evaluation is based upon a scoring system, which uses a set of standard samples of known cell types, as the reference set. The functions have been carried out on a large set of microarray data from one platform (Affymetrix Human Genome U133 Plus 2.0). In principle, the method could be applied to any expression dataset, provided that there are a sufficient number of standard samples and that the data are normalized.

Author: Nancy Mah, Katerina Taskova

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

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


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PDF R Script R packages: CellScore
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biocViews DataImport, GeneExpression, Microarray, MultipleComparison, ReportWriting, Software, Transcription, Visualization
Version 1.20.0
In Bioconductor since BioC 3.7 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports Biobase(>= 2.39.1), graphics (>= 3.5.0), grDevices (>= 3.5.0), gplots (>= 3.0.1), lsa (>= 0.73.1), methods (>= 3.5.0), RColorBrewer (>= 1.1-2), squash (>= 1.0.8), stats (>= 3.5.0), utils (>= 3.5.0)
Suggests hgu133plus2CellScore, knitr
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Source Package CellScore_1.20.0.tar.gz
Windows Binary CellScore_1.20.0.zip
macOS Binary (x86_64) CellScore_1.20.0.tgz
macOS Binary (arm64) CellScore_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CellScore
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellScore
Bioc Package Browser https://code.bioconductor.org/browse/CellScore/
Package Short Url https://bioconductor.org/packages/CellScore/
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