CellScore: Tool for Evaluation of Cell Identity from Transcription Profiles

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.

Package details

AuthorNancy Mah, Katerina Taskova
Bioconductor views DataImport GeneExpression Microarray MultipleComparison ReportWriting Transcription Visualization
MaintainerNancy Mah <nancy.l.mah@googlemail.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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CellScore documentation built on Nov. 8, 2020, 8:11 p.m.