scClassify

DOI:10.18129/B9.bioc.scClassify

scClassify: single-cell Hierarchical Classification

Bioconductor版本:版本(3.15)

scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.

Author: Yingxin Lin

Maintainer: Yingxin Lin

Installation

To install this package, start R (version "4.2") and enter:

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

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

Documentation

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

browseVignettes("scClassify")

HTML	R Script	pretrainedModel
HTML	R Script	scClassify
PDF		Reference Manual
Text		NEWS

Details

biocViews	2021年欧洲杯 ,2021年欧洲杯 ,2021年欧洲杯 ,2021年欧洲杯
Version	1.8.0
In Bioconductor since	BioC 3.11 (R-4.0) (2.5 years)
License	GPL-3
Depends	R (>= 4.0)
Imports	S4Vectors,limma,ggraph,igraph, methods,cluster,minpack.lm,mixtools,BiocParallel,proxy,proxyC,Matrix,ggplot2,hopach,diptest,mgcv, stats, graphics,statmod,Cepo
LinkingTo
Suggests	knitr,rmarkdown,BiocStyle,pkgdown
SystemRequirements
Enhances
URL
BugReports	https://github.com/SydneyBioX/scClassify/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	scClassify_1.8.0.tar.gz
Windows Binary	scClassify_1.8.0.zip
macOS 10.13 (High Sierra)	scClassify_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/scClassify
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/scClassify
Package Short Url	//www.andersvercelli.com/packages/scClassify/
Package Downloads Report	Download Stats