uniqueTissues


	a numeric matrix containing gene expression value. The column labels are samples names. For two samples from the same tissue T, their names should be assigned as T.1 and T.2, respectively.



	This function reads the sample names of genes and get unique tissue information for further tissue-specific genes finding and clustering.


 tissue specific 

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).

uniqueTissues: get tissue information

Description

Usage

Arguments

Value

See Also

Examples