Search for the min values of 3D matrix in cpp
Binarize the drug target profile data
Convert decimal values to binary values
Model selection with sffs for the multi-class drug-target interaction data using one.sided and weighted TIMMA model
Model selection with sffs for the multi-class drug-target interaction data using two.sided and weighted TIMMA model
Gray code function for matrix indexes
Search for the min values of 2D matrix in cpp
The curated drug-target data for the Miller drugs
Find the same column from a matrix
Find the same columns from two matrices
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided and weighted TIMMA model
Predicting drug sensitivity with binary drug-target interaction data
Prediction in the search space with two.sided TIMMA model
Generate search space
Kiba interaction data
The combination index extracted from Figure 1B of the Miller study
A binary drug-target interaction data
Target Inhibition inference using Maximization and Minimization Averaging
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided and weighted TIMMA model
The scaled drug sensitivity data for the Miller drugs
Filter targets
Predicting drug sensitivity with binary drug-target interaction data using modified maximization and minimization rules
Prediction in the search space with one.sided TIMMA model
Model selection with sffs for the binary drug-target interaction data using two.sided TIMMA model
Draw graph function
Graycode Function
miller_interaction_binary
The binarized drug-target data for the Miller drugs
Model selection with sffs for the multi-class drug-target interaction data using two.sided TIMMA model
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided TIMMA model
Model selection with filtered binary drug-target interaction data
Main function for the timma package
The single drug does-response data from the Miller study
Model selection with sffs for the multi-class drug-target interaction data using one.sided TIMMA model
Generate the list of ranked drug combinations
Drug-target profile for 72 drugs and 442 targets.
Binary set for multiclass data
Weighted binary set for multiclass data
Search for the max values of 2D matrix in cpp
SFFS switch function
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided TIMMA model
Sum for 2D matrix in cpp
Model selection with sffs for the binary drug-target interaction data
Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model
Sum for 3D matrix
Generate gray code
Generate the list of ranked target combinations
Predicting drug sensitivity with binary drug-target interaction data
The drug sensitivity data
Normalize the drug sensitivity data
Names for the predicted sensitivity matrix
tyner_interaction_multiclass
A multi-class drug-target interaction data
Search for supersets and subsets
Search for the max values of 3D matrix in cpp
A drug list from Miller study