# Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data

## Documentation for package ‘rsgcc’ version 1.0.6

- DESCRIPTION file.

## Help Pages

rsgcc-package | Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data
adjacencymatrix | adjacency matrix calculation
cor.matrix | correlation calculation for a set of genes
cor.pair | compute the correlation between two genes
data | example of RNA-Seq gene expression data
gcc.cor.matrix | correlation calculation for a set of genes
gcc.cor.pair | compute the correlation between two genes
gcc.corfinal | get the final correlaiton and p-value of Gini method
gcc.cormatrix | correlation calculation for a set of genes
gcc.corpair | compute the correlation between two genes
gcc.dist | compute distance matrix for hierarchical clustering
gcc.hclust | hierarchical cluster
gcc.heatmap | heat map
gcc.tsheatmap | correlaiton and clustering analysis of tissue-specific genes
getsgene | identify tissue(or condtion)-specific genes
onegcc | compute one Gini correlation coefficient
rnaseq | example of RNA-Seq gene expression data
rsgcc | Gini methodology-based correlation and clustering analysis of microarray and RNA-Seq gene expression data
rsgcc.gui | graphical user interface (GUI) of rsgcc package
uniqueTissues | get tissue information