drsim: drsim

In PriorCD: Prioritizing Cancer Drugs for Interested Cancer

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

r <- getData("drug.r")
fdr <- getData("drug.fdr")
m <- drsim(r, fdr, top = 0.5)

PriorCD documentation built on May 2, 2019, 7:28 a.m.