This is the released version of cytofQC; for the devel version, see cytofQC.
Labels normalized cells for CyTOF data and assigns probabilities for each labelBioconductor version: Release (3.21)
cytofQC is a package for initial cleaning of CyTOF data. It uses a semi-supervised approach for labeling cells with their most likely data type (bead, doublet, debris, dead) and the probability that they belong to each label type. This package does not remove data from the dataset, but provides labels and information to aid the data user in cleaning their data. Our algorithm is able to distinguish between doublets and large cells.
Author: Jill Lundell [aut, cre] ORCID: 0000-0002-6048-4700 , Kelly Street [aut] ORCID: 0000-0001-6379-5013
Maintainer: Jill Lundell <jflundell at gmail.com>
Citation (from within R, entercitation("cytofQC")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cytofQC")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cytofQC")
Details biocViews Annotation, SingleCell, Software Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License Artistic-2.0 Depends Imports CATALYST, flowCore, e1071, EZtune, gbm, ggplot2, hrbrthemes, matrixStats, randomForest, rmarkdown, SingleCellExperiment, stats, SummarizedExperiment, ssc, S4Vectors, graphics, methods System Requirements URL https://github.com/jillbo1000/cytofQC Bug Reports https://github.com/jillbo1000/cytofQC/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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