timmaSearchBinary1: Prediction in the search space with two.sided TIMMA model

In timma: Target Inhibition Interaction using Maximization and Minimization Averaging

Description

A function to return the prediction error in the search space for sffs

Usage

timmaSearchBinary1(profile_k, space, sens, loo = TRUE)

Arguments

profile_k	current selected drug-target interaction data
space	the search space returned by searchSpace function
sens	drug sensitivity data
loo	a logical value indicating whether to use the leave-one-out cross-validation in the model selection process. By default, loo = TRUE.

Value

the prediction error

Author(s)

Liye He [e-mail]

Examples

data(tyner_interaction_binary)
data(tyner_sensitivity)
num<-length(tyner_sensitivity[,1])
k_set<-rep(0, dim(tyner_interaction_binary)[2])
k_set[1]<-1
space<-searchSpace(num, k_set, tyner_interaction_binary, tyner_sensitivity[,1])
profile_k<-tyner_interaction_binary[, which(k_set==1)]
error<-timmaSearchBinary1(profile_k, space, tyner_sensitivity[,1])

timma documentation built on May 2, 2019, 1:10 p.m.