Zscore: miRNA target prediction with the Z-score method

In miRLAB: Dry lab for exploring miRNA-mRNA relationships

Description

Calculate the Z-score value of each pair of miRNA-mRNA, and return a matrix of values with columns are miRNAs and rows are mRNAs.

Usage

Zscore(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 Z-score values. Columns are miRNAs, rows are mRNAs.

References

Prill, R.J., Marbach, D., Saez-Rodriguez, J., Sorger, P.K., Alexopoulos, L.G., Xue, X., Clarke, N.D., Altan-Bonnet, G. and Stolovitzky, G. (2010) Towards a rigorous assessment of systems biology models: the DREAM3 challenges. PLoS One, 5, e9202.

Examples

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

Example output

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