# One-Step to Cluster and Visualize Gene Expression Data

## Documentation for package ‘ClusterGVis’ version 1.1.0

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

## Help Pages

BEAM_res | This is a test data for this package
cell_data_set-class | Cell Data Set Class
clusterData | Cluster Data Based on Different Methods
DataSet | This is a test data for this package
enrichCluster | Perform GO/KEGG Enrichment Analysis for Multiple Clusters
exprs | Generic to access cds count matrix
exprs-method | Method to access cds count matrix
exps | This is a test data for this package
filter.std | using filter.std to filter low expression genes
filter.std modified by Mfuzz filter.std | using filter.std to filter low expression genes
getClusters | Determine Optimal Clusters for Gene Expression or Pseudotime Data
HSMM | This is a test data for this package
net | This is a test data for this package
pbmc_subset | This is a test data for this package
plot_genes_branched_heatmap2 | Create a heatmap to demonstrate the bifurcation of gene expression along two branchs which is slightly modified in monocle2
plot_pseudotime_heatmap2 | Plots a pseudotime-ordered, row-centered heatmap which is slightly modified in monocle2
prepareDataFromscRNA | Prepare scRNA Data for clusterGvis Analysis
pseudotime | Generic to extract pseudotime from CDS object
pseudotime-method | Generic to extract pseudotime from CDS object
sig_gene_names | This is a test data for this package
termanno | This is a test data for this package
termanno2 | This is a test data for this package
traverseTree | traverseTree function
visCluster | using visCluster to visualize cluster results from clusterData and enrichCluster output