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bioconductor-caen

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

Installation

To install this package, run one of the following:

Conda
$conda install bioconda::bioconductor-caen

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Description

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.

About

Summary

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

Last Updated

Dec 22, 2024 at 03:06

License

GPL-2

Total Downloads

10.2K

Supported Platforms

noarch