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cytofQC

Labels normalized cells for CyTOF data and assigns probabilities for each label

Bioconductor version: 3.24 · Package version: 2.1.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cytofQC")

Details

MaintainerJill Lundell <jflundell@gmail.com>
AuthorJill Lundell [aut, cre] (ORCID: <https://orcid.org/0000-0002-6048-4700>), Kelly Street [aut] (ORCID: <https://orcid.org/0000-0001-6379-5013>)
LicenseArtistic-2.0
URLhttps://github.com/jillbo1000/cytofQC
Bug Reportshttps://github.com/jillbo1000/cytofQC/issues
Downloads rank332
Source branchdevel
biocViewsAnnotation, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecytofQC_2.1.0.tar.gz
Windows binary (x86_64)cytofQC_2.1.0.zip
macOS binary (arm64)cytofQC_2.1.0.tgz
macOS binary (x86_64)cytofQC_2.1.0.tgz
Dependencies

Imports: CATALYST, flowCore, e1071, EZtune, gbm, ggplot2, matrixStats, randomForest, rmarkdown, SingleCellExperiment, stats, SummarizedExperiment, ssc, S4Vectors, graphics, methods, mixtools

Suggests: gridExtra, knitr, RColorBrewer, testthat, uwot