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timma (version 1.2.0)
Target Inhibition Interaction using Maximization and Minimization Averaging
Description
Target Inhibition Interaction using Maximization/Minimization Averaging
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Version
Version
1.2.1
1.2.0
1.1.0
1.0.0
0.99.0
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Install
install.packages('timma')
Monthly Downloads
51
Version
1.2.0
License
Artistic License 2.0
Maintainer
Liye He
Last Published
January 11th, 2015
Functions in timma (1.2.0)
Search functions
dec2bin
Convert decimal values to binary values
sffsBinary
Model selection with sffs for the binary drug-target interaction data
findSameSet
Find the same columns from two matrices
ci
The combination index extracted from Figure 1B of the Miller study
mincpp
Search for the min values of 3D matrix in cpp
tyner_interaction_multiclass
A multi-class drug-target interaction data
sumcpp1
Sum for 2D matrix in cpp
sffsCategoryWeighted
Model selection with sffs for the multi-class drug-target interaction data using one.sided and weighted TIMMA model
drawGraph
Draw graph function
maxcpp
Search for the max values of 3D matrix in cpp
binarySet
Search for supersets and subsets
davis
Drug-target profile for 72 drugs and 442 targets.
timmaModel
Predicting drug sensitivity with binary drug-target interaction data
timmaCategoryWeighted
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided and weighted TIMMA model
timmaBinary
Predicting drug sensitivity with binary drug-target interaction data
graycode2
Graycode Function
binarizeDrugTargets
Binarize the drug target profile data
grays
Generate gray code
sffs
SFFS switch function
sffsBinary1
Model selection with sffs for the binary drug-target interaction data using two.sided TIMMA model
sffsCategoryWeighted1
Model selection with sffs for the multi-class drug-target interaction data using two.sided and weighted TIMMA model
getBinary
Binary set for multiclass data
mincpp1
Search for the min values of 2D matrix in cpp
maxcpp1
Search for the max values of 2D matrix in cpp
timmaCategory
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided TIMMA model
timmaModel1
Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model
findSameCol
Find the same column from a matrix
normalizeSensitivity
Normalize the drug sensitivity data
searchSpace
Generate search space
miller_sensitivity
The scaled drug sensitivity data for the Miller drugs
tyner_interaction_binary
A binary drug-target interaction data
graycode3
Gray code function for matrix indexes
getBinary1
Weighted binary set for multiclass data
miller_targets
The curated drug-target data for the Miller drugs
sffsCategory1
Model selection with sffs for the multi-class drug-target interaction data using two.sided TIMMA model
miller_drug_response
The single drug does-response data from the Miller study
drugRank
Generate the list of ranked drug combinations
timma
Main function for the timma package
sffsCategory
Model selection with sffs for the multi-class drug-target interaction data using one.sided TIMMA model
timmaBinary1
Predicting drug sensitivity with binary drug-target interaction data using modified maximization and minimization rules
timmaSearchBinary
Prediction in the search space with one.sided TIMMA model
timmaSearchBinary1
Prediction in the search space with two.sided TIMMA model
sumcpp
Sum for 3D matrix
tyner_sensitivity
The drug sensitivity data
timmaCategoryWeighted1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided and weighted TIMMA model
floating2
Filter targets
kiba
Kiba interaction data
timmaCategory1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided TIMMA model
timma-package
Target Inhibition inference using Maximization and Minimization Averaging
miller_drugs
A drug list from Miller study
miller_interaction_binary
The binarized drug-target data for the Miller drugs
sffsBinary2
Model selection with filtered binary drug-target interaction data
graycodeNames
Names for the predicted sensitivity matrix