Borda: Ensemble method for miRNA target prediction using Borda count...

In miRLAB: Dry lab for exploring miRNA-mRNA relationships

Description

Use the Borda count election method to integrate the rankings from different miRNA target prediction methods

Usage

Borda(listCEmatrices)

Arguments

listCEmatrices

a list of matrices that include the correlation coefficients/causal effects/scores resulting from different target prediction methods

Value

a matrix of ranking scores (averaging all the rankings from different methods). Columns are miRNAs and rows are mRNAs

References

1. Le, T.D., Zhang, J., Liu, L., and Li, J. (2015) Ensemble Methods for miRNA Target Prediction from Expression Data, Plos ONE.

2. Marbach, D., Costello, J.C., Kuffner, R., Vega, N.M., Prill, R.J., Camacho, D.M., Allison, K.R. and DREAM5 Consortium (2012). Wisdom of crowds for robust gene network inference. Nat. Methods, 9, 796-804.

Examples

dataset=system.file("extdata", "ToyEMT.csv", package="miRLAB")
ps=Pearson(dataset, cause=1:3, effect=4:18)
ida=IDA(dataset, cause=1:3, effect=4:18)
borda=Borda(list(ps, ida))

Example output

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