This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see scFeatureFilter.
Bioconductor version: 3.7
An R implementation of the correlation-based method developed in the Joshi laboratory to analyse and filter processed single-cell RNAseq data. It returns a filtered version of the data containing only genes expression values unaffected by systematic noise.
Author: Angeles Arzalluz-Luque [aut], Guillaume Devailly [aut, cre], Anagha Joshi [aut]
Maintainer: Guillaume Devailly <gdevailly at hotmail.com>
Citation (from within R,
enter citation("scFeatureFilter")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("scFeatureFilter")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scFeatureFilter")
HTML | R Script | Introduction to scFeatureFilter |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | GeneExpression, Preprocessing, RNASeq, SingleCell, Software |
Version | 1.0.0 |
License | MIT + file LICENSE |
Depends | R (>= 3.5) |
Imports | dplyr (>= 0.7.3), ggplot2 (>= 2.1.0), magrittr (>= 1.5), rlang (>= 0.1.2), tibble (>= 1.3.4), stats, methods |
LinkingTo | |
Suggests | testthat, knitr, rmarkdown, SingleCellExperiment, SummarizedExperiment, scRNAseq, cowplot |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | scFeatureFilter_1.0.0.tar.gz |
Windows Binary | scFeatureFilter_1.0.0.zip |
Mac OS X 10.11 (El Capitan) | scFeatureFilter_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scFeatureFilter |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scFeatureFilter |
Package Short Url | http://bioconductor.org/packages/scFeatureFilter/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: