R (>= 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots,
gWidgets, gWidgetsRGtk2, parmigene, stringr, snowfall
This package provides functions for calculating
associations between two genes with the mutual information (MI)
method and several correlation methods, including 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).
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).

R (>= 2.15.1), bigmemory, biwt, cairoDevice, ctc, fBasics,
grDevices, gplots, gWidgets, gWidgetsRGtk2, minerva, parmigene,
stringr, snowfall
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).

R (>= 2.15.1), biwt, cairoDevice, fBasics, grDevices, gplots,
gWidgets, gWidgetsRGtk2, minerva, parmigene, stringr, snowfall

R (>= 2.14.2), biwt, ctc, fBasics, snowfall, grDevices,
gplots, gWidgets, gWidgetsRGtk2, stringr

Robust Sparse Gaussian Graphical Modeling via the
Gamma-Divergence
Robust estimation of sparse inverse covariance matrix via the gamma-divergence.