| timma-package | Target Inhibition inference using Maximization and Minimization Averaging |
| binarizeDrugTargets | Binarize the drug target profile data |
| binarySet | Search for supersets and subsets |
| ci | The combination index extracted from Figure 1B of the Miller study |
| davis | Drug-target profile for 72 drugs and 442 targets. |
| dec2bin | Convert decimal values to binary values |
| drawGraph | Draw graph function |
| drugRank | Generate the list of ranked drug combinations |
| findSameCol | Find the same column from a matrix |
| findSameSet | Find the same columns from two matrices |
| floating2 | Filter targets |
| getBinary | Binary set for multiclass data |
| getBinary1 | Weighted binary set for multiclass data |
| graycode2 | Graycode Function |
| graycode3 | Gray code function for matrix indexes |
| graycodeNames | Names for the predicted sensitivity matrix |
| grays | Generate gray code |
| kiba | Kiba interaction data |
| maxcpp | Search for the max values of 3D matrix in cpp |
| maxcpp1 | Search for the max values of 2D matrix in cpp |
| miller_drugs | A drug list from Miller study |
| miller_drug_response | The single drug does-response data from the Miller study |
| miller_interaction_binary | The binarized drug-target data for the Miller drugs |
| miller_sensitivity | The scaled drug sensitivity data for the Miller drugs |
| miller_targets | The curated drug-target data for the Miller drugs |
| mincpp | Search for the min values of 3D matrix in cpp |
| mincpp1 | Search for the min values of 2D matrix in cpp |
| normalizeSensitivity | Normalize the drug sensitivity data |
| searchSpace | Generate search space |
| sffs | SFFS switch function |
| sffsBinary | Model selection with sffs for the binary drug-target interaction data |
| sffsBinary1 | Model selection with sffs for the binary drug-target interaction data using two.sided TIMMA model |
| sffsBinary2 | Model selection with filtered binary drug-target interaction data |
| sffsCategory | Model selection with sffs for the multi-class drug-target interaction data using one.sided TIMMA model |
| sffsCategory1 | Model selection with sffs for the multi-class drug-target interaction data using two.sided TIMMA model |
| sffsCategoryWeighted | Model selection with sffs for the multi-class drug-target interaction data using one.sided and weighted TIMMA model |
| sffsCategoryWeighted1 | Model selection with sffs for the multi-class drug-target interaction data using two.sided and weighted TIMMA model |
| sumcpp | Sum for 3D matrix |
| sumcpp1 | Sum for 2D matrix in cpp |
| targetRank | Generate the list of ranked target combinations |
| TIMMA | Target Inhibition inference using Maximization and Minimization Averaging |
| timma | Main function for the timma package |
| timmaBinary | Predicting drug sensitivity with binary drug-target interaction data |
| timmaBinary1 | Predicting drug sensitivity with binary drug-target interaction data using modified maximization and minimization rules |
| timmaCategory | Predicting drug sensitivity with multi-class drug-target interaction data using one.sided TIMMA model |
| timmaCategory1 | Predicting drug sensitivity with multi-class drug-target interaction data using two.sided TIMMA model |
| timmaCategoryWeighted | Predicting drug sensitivity with multi-class drug-target interaction data using one.sided and weighted TIMMA model |
| timmaCategoryWeighted1 | Predicting drug sensitivity with multi-class drug-target interaction data using two.sided and weighted TIMMA model |
| timmaModel | Predicting drug sensitivity with binary drug-target interaction data |
| timmaModel1 | Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model |
| timmaSearchBinary | Prediction in the search space with one.sided TIMMA model |
| timmaSearchBinary1 | Prediction in the search space with two.sided TIMMA model |
| tyner_interaction_binary | A binary drug-target interaction data |
| tyner_interaction_multiclass | A multi-class drug-target interaction data |
| tyner_sensitivity | The drug sensitivity data |