Dcov: miRNA target prediction with the Distance correlation method

Description Usage Arguments Value References Examples

View source: R/miRLAB.R

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

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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

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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.