Package: CellScore
Title: Tool for Evaluation of Cell Identity from Transcription Profiles
Version: 1.14.0
Author: Nancy Mah, Katerina Taskova
Maintainer: Nancy Mah <nancy.l.mah@googlemail.com>
Description: 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.
Suggests: hgu133plus2CellScore, knitr
VignetteBuilder: knitr
biocViews: GeneExpression, Transcription, Microarray,
        MultipleComparison, ReportWriting, DataImport, Visualization
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)
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2021-10-26 21:04:11 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/CellScore
git_branch: RELEASE_3_14
git_last_commit: f1b13c0
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
Built: R 4.1.1; ; 2021-11-02 19:25:48 UTC; unix
