SeedSelection: SeedSelection

In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Description

Given the seeds, it creates the submatrix of the features where the rows are just the seeds drugs

Usage

SeedSelection(features, num_clusters, s)

Arguments

features	train matrix of features (in the case of k-folding is the matrix of features)
num_clusters	number of clusters desired
s	the list of seeds

Value

Seed subset of the feature matrix, where rows are the Seed drugs, and columns the relative features

Examples

r <- 8
c <- 10
m0 <- matrix(0, r, c)
num_clusters=4
features<-apply(m0, c(1,2), function(x) sample(c(0,1),1))
s<-RandomSeedGenerator(num_clusters,nrow(features))
Seed<-SeedSelection(features,num_clusters,s)

Example output

DrugClust documentation built on May 2, 2019, 11:06 a.m.