Package: CellScore 1.25.0

Nancy Mah

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.

Authors:Nancy Mah [aut, cre], Katerina Taskova [aut], Justin Marsh [aut]

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CellScore.pdf |CellScore.html
CellScore/json (API)

# Install 'CellScore' in R:
install.packages('CellScore', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:CellScore-1.25.0(bioc 3.20)CellScore-1.24.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

14 exports 1.00 score 37 dependencies 1 mentions

Last updated 2 months agofrom:fc6e998b8b

Exports:BarplotOnOffBoxplotCellScoreCellScoreCellScoreReportCosineSimScoreextractTransitionsheatmapOnOffMarkersOnOffPcaStandardsPlotCosineSimHeatmapRugplotCellScorerugplotDonorTargetTestScatterplotCellScoreComponentsscatterplotDonorTargetTest

Dependencies:abindaskpassBiobaseBiocGenericsbitopscaToolscrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangesgplotsgtoolshttrIRangesjsonliteKernSmoothlatticelsaMatrixMatrixGenericsmatrixStatsmimeopensslR6RColorBrewerS4ArraysS4VectorsSnowballCSparseArraysquashSummarizedExperimentsysUCSC.utilsXVectorzlibbioc

R packages: CellScore

Rendered fromCellScoreVignette.Rnwusingknitr::knitron Jun 30 2024.

Last update: 2023-07-20
Started: 2018-01-18