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

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

## Documentation for package ‘ClussCluster’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

ClussCluster | Performs simultaneous detection of cell types and cell-type-specific signature genes
ClussCluster_Gap | Performs simultaneous detection of cell types and cell-type-specific signature genes
filter_gene | Gene Filter
Hou_sim | A truncated subset of the scRNA-seq expression data set from Hou et.al (2016)
plot_ClussCluster | Plots the results of 'ClussCluster'
plot_ClussCluster_Gap | Plots the results of 'ClussCluster_Gap'
print_ClussCluster | Prints out the results of 'ClussCluster'
print_ClussCluster_Gap | Prints out the results of 'ClussCluster_Gap' Prints the gap statistics and number of genes selected for each candidate tuning parameter.
sim_dat | A simulated expression data set.
top.m.hm | Plots the results of 'ClussCluster'