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Description

Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data.

Implements a new method 'ClussCluster' descried in Ge Jiang and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished). Simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, 'ClussCluster' incorporates a Lasso-type regularization penalty term to the objective function of K- means so that cell-type-specific signature genes can be identified while clustering the cells.

ClussCluster

This package implements a new method ClussCluster to simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, ClussCluster incorporates a Lasso-type regularization penalty term to the objective function of K-means so that cell-type-specific signature genes can be identified while clustering the cells.

Installing

To install this package and load it into R, do the following:

devtools::install_github("gabriellajg/ClussCluster")
library(ClussCluster)
Metadata

Version

0.1.0

License

Unknown

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