cellity
Quality Control for Single-Cell RNA-seq Data
Bioconductor version: 3.23 · Package version: 1.40.0
A support vector machine approach to identifying and filtering low quality cells from single-cell RNA-seq datasets.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cellity")Details
| Maintainer | Tomislav Ilicic <ti243@cam.ac.uk> |
| Author | Tomislav Illicic, Davis McCarthy |
| License | GPL (>= 2) |
| Downloads rank | 527 |
| Source branch | RELEASE_3_23 |
| biocViews | DimensionReduction, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | cellity_1.40.0.tar.gz |
| Windows binary (x86_64) | cellity_1.40.0.zip |
| macOS binary (arm64) | cellity_1.40.0.tgz |
| macOS binary (x86_64) | cellity_1.40.0.tgz |
Dependencies
Depends: R (>= 3.3)
Imports: AnnotationDbi, e1071, ggplot2, graphics, grDevices, grid, mvoutlier, org.Hs.eg.db, org.Mm.eg.db, robustbase, stats, topGO, utils