Movatterモバイル変換


[0]ホーム

URL:


Bioconductor 3.22 Released

Bioconductor home
Menu

scRecover

This is thereleased version of scRecover; for the devel version, seescRecover.

scRecover for imputation of single-cell RNA-seq data

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.scRecover


Bioconductor version: Release (3.22)

scRecover is an R package for imputation of single-cell RNA-seq (scRNA-seq) data. It will detect and impute dropout values in a scRNA-seq raw read counts matrix while keeping the real zeros unchanged, since there are both dropout zeros and real zeros in scRNA-seq data. By combination with scImpute, SAVER and MAGIC, scRecover not only detects dropout and real zeros at higher accuracy, but also improve the downstream clustering and visualization results.

Author: Zhun Miao, Xuegong Zhang <zhangxg at tsinghua.edu.cn>

Maintainer: Zhun Miao <miaoz13 at tsinghua.org.cn>

Citation (from within R, entercitation("scRecover")):

Installation

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

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

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("scRecover")
scRecoverHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,Preprocessing,RNASeq,Sequencing,SingleCell,Software,Transcriptomics
Version1.26.0
In Bioconductor sinceBioC 3.9 (R-3.6) (6.5 years)
LicenseGPL
DependsR (>= 3.4.0)
Importsstats, utils, methods, graphics,doParallel,foreach, parallel,penalized,kernlab,rsvd,Matrix (>= 1.2-14),MASS (>= 7.3-45),pscl (>= 1.4.9),bbmle (>= 1.0.18),gamlss (>= 4.4-0),preseqR (>= 4.0.0),SAVER (>= 1.1.1),BiocParallel(>= 1.12.0)
System Requirements
URLhttps://miaozhun.github.io/scRecover
Bug Reportshttps://github.com/miaozhun/scRecover/issues
See More
Suggestsknitr,rmarkdown,SingleCellExperiment,testthat
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 PackagescRecover_1.26.0.tar.gz
Windows Binary (x86_64) scRecover_1.26.0.zip
macOS Binary (x86_64)scRecover_1.26.0.tgz
macOS Binary (arm64)scRecover_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scRecover
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scRecover
Bioc Package Browserhttps://code.bioconductor.org/browse/scRecover/
Package Short Urlhttps://bioconductor.org/packages/scRecover/
Package Downloads ReportDownload Stats

[8]ページ先頭

©2009-2025 Movatter.jp