pred.network: Predict the network
In BUS: Gene network reconstruction

Description Usage Arguments Value Author(s) Examples

To predict the matrix of gene network, based on the similarity matrix and filtered according to a corrected p-value matrix.

1	pred.network(pM,similarity,thresh)

`pM`	A corrected p-value matrix, a MxM matrix for significance of similarity among M genes.
`similarity`	A MxM matrix for similarity between genes.
`thresh`	Threshold for significance of the p-value.

A MxM matrix of the predicted network, where cell emphij infers a link between gene i and j and set 0 when the p-value is not significant (no link).

Yin Jin, Hesen Peng, Lei Wang, Raffaele Fronza, Yuanhua Liu and Christine Nardini

data(copasi)
mat<-as.matrix(copasi[1:10,])
rownames(mat)<-paste("G",1:nrow(mat), sep="")
similarity=gene.similarity(mat,measure="MI",net.trim="mrnet")
pM=gene.pvalue(mat,measure="MI",net.trim="mrnet")$single.perm.p.value
pred.network(pM,similarity,thresh=0.05)