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cellity

This is the released version of cellity; for the devel version, see cellity.

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Release (3.21)

A support vector machine approach to identifying and filtering low quality cells from single-cell RNA-seq datasets.

Author: Tomislav Illicic, Davis McCarthy

Maintainer: Tomislav Ilicic <ti243 at cam.ac.uk>

Citation (from within R, enter citation("cellity")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("cellity")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellity")

Details biocViews DimensionReduction, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization Version 1.36.0 In Bioconductor since BioC 3.3 (R-3.3) (9 years) License GPL (>= 2) Depends R (>= 3.3) Imports AnnotationDbi, e1071, ggplot2, graphics, grDevices, grid, mvoutlier, org.Hs.eg.db, org.Mm.eg.db, robustbase, stats, topGO, utils System Requirements URL See More Package Archives

Follow Installation instructions to use this package in your R session.

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