print_ClussCluster_Gap

<p>An object that is obtained by applying the ClussCluster_Gap function to the data set.</p>

object

<p>Prints out the results of <code>ClussCluster_Gap</code>
Prints the gap statistics and number of genes selected for each candidate tuning parameter.</p>

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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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.

Jun Li

ClussCluster

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

Li Jun

Jiang Ge

Wang Chuanqi

print_ClussCluster_Gap function

Prints out the results of <code>ClussCluster_Gap</code>
Prints the gap statistics and number of genes selected for each candidate tuning parameter. — print_ClussCluster_Gap

print_ClussCluster_Gap: Prints out the results of `ClussCluster_Gap` Prints the gap statistics and number of genes selected for each candidate tuning parameter.

Description

Usage

Arguments