This is the development version of CellScore; for the stable release version, see CellScore.
Tool for Evaluation of Cell Identity from Transcription ProfilesBioconductor version: Development (3.22)
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 [aut, cre], Katerina Taskova [aut], Justin Marsh [aut]
Maintainer: Nancy Mah <nancy.l.mah at googlemail.com>
Citation (from within R, entercitation("CellScore")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CellScore")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation Details biocViews DataImport, GeneExpression, Microarray, MultipleComparison, ReportWriting, Software, Transcription, Visualization Version 1.29.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL-3 Depends R (>= 4.3.0) 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), SummarizedExperiment System Requirements URL See More Package ArchivesFollow Installation instructions to use this package in your R session.
Source Package Windows Binary (x86_64) macOS Binary (x86_64) macOS Binary (arm64) Source Repository git clone https://git.bioconductor.org/packages/CellScore Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellScore Package Short Url https://bioconductor.org/packages/CellScore/ Package Downloads Report Download StatsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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