miRLAB (version 1.2.2)

Zscore: miRNA target prediction with the Z-score method

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)