One-Step to Cluster and Visualize Gene Expression Data

Documentation for package ‘ClusterGVis’ version 0.99.9

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