CAEN
Category encoding method for selecting feature genes for the classification of single-cell RNA-seq
Bioconductor version: 3.23 · Package version: 1.20.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CAEN")Details
| Maintainer | Zhou Yan <2160090406@email.szu.edu.cn> |
| Author | Zhou Yan [aut, cre] |
| License | GPL-2 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ATACSeq, Classification, DifferentialExpression, GeneExpression, RIPSeq, RNASeq, Sequencing, SingleCell, Software |
| Package Short Url | https://bioconductor.org/packages/CAEN/ |
Citation
From within R, enter citation("CAEN"):
Zhou Yan. CAEN: Category encoding method for selecting feature genes for the classification of single-cell RNA-seq. doi:10.18129/B9.bioc.CAEN, R package version 1.20.0, https://bioconductor.org/packages/CAEN.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CAEN_1.20.0.tar.gz |
| Windows binary (x86_64) | CAEN_1.20.0.zip |
| macOS binary (arm64) | CAEN_1.20.0.tgz |
| macOS binary (x86_64) | CAEN_1.20.0.tgz |
Dependencies
Depends: R (>= 4.1)
Imports: stats, PoiClaClu, SummarizedExperiment, methods
Suggests: knitr, rmarkdown, BiocManager, SummarizedExperiment, BiocStyle