Dcov: miRNA target prediction with the Distance correlation method

In miRLAB: Dry lab for exploring miRNA-mRNA relationships

Description

Calculate the Distance correlation of each pair of miRNA-mRNA,and return a matrix of correlation coefficients with columns are miRNAs and rows are mRNAs.

Usage

Dcov(datacsv, cause, effect, targetbinding = NA)

Arguments

datacsv	the input dataset in csv format
cause	the column range that specifies the causes (miRNAs), e.g. 1:35
effect	the column range that specifies the effects (mRNAs), e.g. 36:2000
targetbinding	the putative target, e.g. "TargetScan.csv". If targetbinding is not specified, only expression data is used. If targetbinding is specified, the prediction results using expression data with be intersected with the interactions in the target binding file.

Value

A matrix that includes the Distance correlation values. Columns are miRNAs, rows are mRNAs.

References

Szekely, G., Rizzo, M. and Bakirov, N. (2007) Measuring and testing independence by correlation of distances. Ann. Stat., 35, 2769 - 94.

Examples

dataset=system.file("extdata", "ToyEMT.csv", package="miRLAB")
results=Dcov(dataset, 1:3, 4:18) 

miRLAB documentation built on Nov. 8, 2020, 5:45 p.m.