CAEN

DOI: 10.18129/B9.bioc.CAEN    

Category encoding method for selecting feature genes for the classification of single-cell RNA-seq

Bioconductor version: Release (3.13)

With the development of high-throughput techniques, more and more gene expression analysis tend to replace hybridization-based microarrays with the revolutionary technology.The novel method encodes the category again by employing the rank of samples for each gene in each class. We then consider the correlation coefficient of gene and class with rank of sample and new rank of category. The highest correlation coefficient genes are considered as the feature genes which are most effective to classify the samples.

Author: Zhou Yan [aut, cre]

Maintainer: Zhou Yan <2160090406 at email.szu.edu.cn>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CAEN")

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("CAEN")

 

HTML	R Script	CAEN Tutorial
PDF		Reference Manual
Text		NEWS

Details

biocViews	ATACSeq, Classification, DifferentialExpression, GeneExpression, RIPSeq, RNASeq, Sequencing, SingleCell, Software
Version	1.0.0
In Bioconductor since	BioC 3.13 (R-4.1) (< 6 months)
License	GPL-2
Depends	R (>= 4.1)
Imports	stats, PoiClaClu, SummarizedExperiment, methods
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	CAEN_1.0.0.tar.gz
Windows Binary	CAEN_1.0.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	CAEN_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CAEN
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/CAEN
Package Short Url	https://bioconductor.org/packages/CAEN/
Package Downloads Report	Download Stats