Gini correlation and clustering of gene expression data

 This package provides functions for calculating
 associations between two genes with five correlation
 methods(e.g., the Gini correlation coefficient [GCC], the
 Pearson's product moment correlation coefficient [PCC], the
 Kendall tau rank correlation coefficient [KCC], the Spearman's
 rank correlation coefficient [SCC] and the Tukey's biweight
 correlation coefficient [BiWt], and three non-correlation
 methods (e.g., mutual information [MI] and the maximal
 information-based nonparametric exploration [MINE], and the
 euclidean distance [ED]). It can also been implemented to
 perform the correlation and clustering analysis of
 transcriptomic data profiled by microarray and RNA-Seq
 technologies. Additionally, this package can be further applied
 to construct gene co-expression networks (GCNs).