scFeatureFilter
A correlation-based method for quality filtering of single-cell RNAseq data
Bioconductor version: Release (3.20)
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("scFeatureFilter")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scFeatureFilter")
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("scFeatureFilter")
Introduction to scFeatureFilter | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | GeneExpression, ImmunoOncology, Preprocessing, RNASeq, SingleCell, Software |
Version | 1.26.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (6.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.6) |
Imports | dplyr (>= 0.7.3), ggplot2 (>= 2.1.0), magrittr (>= 1.5), rlang (>= 0.1.2), tibble (>= 1.3.4), stats, methods |
System Requirements | |
URL |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, SingleCellExperiment, SummarizedExperiment, scRNAseq, cowplot |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scFeatureFilter_1.26.0.tar.gz |
Windows Binary (x86_64) | scFeatureFilter_1.26.0.zip (64-bit only) |
macOS Binary (x86_64) | scFeatureFilter_1.26.0.tgz |
macOS Binary (arm64) | scFeatureFilter_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scFeatureFilter |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scFeatureFilter |
Bioc Package Browser | https://code.bioconductor.org/browse/scFeatureFilter/ |
Package Short Url | https://bioconductor.org/packages/scFeatureFilter/ |
Package Downloads Report | Download Stats |