To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cellity")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see cellity.
Bioconductor version: 3.3
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("cellity")
HTML | R Script | An introduction to the cellity package |
Reference Manual | ||
Text | NEWS |
biocViews | DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization |
Version | 1.0.2 |
In Bioconductor since | BioC 3.3 (R-3.3) (< 6 months) |
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 |
LinkingTo | |
Suggests | BiocStyle, caret, knitr, testthat, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | cellity_1.0.2.tar.gz |
Windows Binary | cellity_1.0.2.zip |
Mac OS X 10.9 (Mavericks) | cellity_1.0.2.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/cellity/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/cellity/ |
Package Downloads Report | Download Stats |
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