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scFeatureFilter

This is thereleased version of scFeatureFilter; for the devel version, seescFeatureFilter.

A correlation-based method for quality filtering of single-cell RNAseq data

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DOI: 10.18129/B9.bioc.scFeatureFilter


Bioconductor version: Release (3.22)

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, entercitation("scFeatureFilter")):

Installation

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

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

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

Documentation

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

browseVignettes("scFeatureFilter")
Introduction to scFeatureFilterHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,ImmunoOncology,Preprocessing,RNASeq,SingleCell,Software
Version1.30.0
In Bioconductor sinceBioC 3.7 (R-3.5) (7.5 years)
LicenseMIT + fileLICENSE
DependsR (>= 3.6)
Importsdplyr (>= 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
Suggeststestthat,knitr,rmarkdown,BiocStyle,SingleCellExperiment,SummarizedExperiment,scRNAseq,cowplot
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescFeatureFilter_1.30.0.tar.gz
Windows Binary (x86_64) scFeatureFilter_1.30.0.zip
macOS Binary (x86_64)scFeatureFilter_1.30.0.tgz
macOS Binary (arm64)scFeatureFilter_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scFeatureFilter
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scFeatureFilter
Bioc Package Browserhttps://code.bioconductor.org/browse/scFeatureFilter/
Package Short Urlhttps://bioconductor.org/packages/scFeatureFilter/
Package Downloads ReportDownload Stats

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