PriorCD (version 0.1.0)

drsim: drsim

Description

This function is used to construct a binary adjacency matrix of drug similarity where 1 means strong similarity and 0 means weak similarity.

Usage

drsim(r.mat, p.mat, top = 0.005, r.thres = 0.7, p.thres = 0.01)

Arguments

r.mat

The input matrix of drug correlations.

p.mat

The input matrix of probability values(p-value) of drug correlations.

top

A value to measure drug similarity. It's a threshold of correlation, top=0.005(default) means that top 0.005 of drugs for each row are considered as strong similarity.

r.thres

A value to measure drug similarity. It's a threshold of correlation, r.thres=0.7(default) means that the similarity between drugs are strong when r greater than 0.7.

p.thres

A value to measure the significance level of drug similarity. It's a threshold of probability values, p.thres=0.01(default) means that the similarity between drugs are significant when p less than 0.01.

Value

A binary adjacency matrix of drug similarity.

Examples

# NOT RUN {
r <- getData("drug.r")
fdr <- getData("drug.fdr")
m <- drsim(r, fdr, top = 0.5)
# }