plot_ClussCluster_Gap

<p>object obtained from <code>ClussCluster_Gap</code>()</p>

object

<p>Plots the gap statistics and number of genes selected as the tuning parameter varies.</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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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

plot_ClussCluster_Gap: Plots the results of `ClussCluster_Gap`

Description

Usage

Arguments