Package: CellScore
Title: Tool for Evaluation of Cell Identity from Transcription Profiles
Version: 1.8.0
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
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2020-04-28 03:17:53 UTC; biocbuild
git_url: https://git.bioconductor.org/packages/CellScore
git_branch: RELEASE_3_11
git_last_commit: 796a585
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
Built: R 4.0.0; ; 2020-04-28 13:58:41 UTC; unix
