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timma (version 1.1.0)
Target Inhibition Interaction using Maximization and Minimization Averaging
Description
Target Inhibition Interaction using Maximization/Minimization Averaging
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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
44
Version
1.1.0
License
Artistic License 2.0
Maintainer
Liye He
Last Published
January 5th, 2015
Functions in timma (1.1.0)
Search functions
davis
Drug-target profile for 72 drugs and 442 targets.
miller_drug_response
The single drug does-response data from the Miller study
sffsCategoryWeighted1
Model selection with sffs for the multi-class drug-target interaction data using two.sided and weighted TIMMA model
tyner_interaction_binary
A binary drug-target interaction data
miller_interaction_binary
The binarized drug-target data for the Miller drugs
timmaCategory1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided TIMMA model
normalizeSensitivity
Normalize the drug sensitivity data
miller_sensitivity
The scaled drug sensitivity data for the Miller drugs
drugRank
Generate the list of ranked drug combinations
sffsBinary
Model selection with sffs for the binary drug-target interaction data
graycode2
Graycode Function
drawGraph
Draw graph function
getBinary
Binary set for multiclass data
sffs
SFFS switch function
binarizeDrugTargets
Binarize the drug target profile data
findSameCol
Find the same column from a matrix
ci
The combination index extracted from Figure 1B of the Miller study
sffsBinary1
Model selection with sffs for the binary drug-target interaction data using two.sided TIMMA model
timma
Main function for the timma package
sffsCategoryWeighted
Model selection with sffs for the multi-class drug-target interaction data using one.sided and weighted TIMMA model
binarySet
Search for supersets and subsets
kiba
Kiba interaction data
graycodeNames
Names for the predicted sensitivity matrix
maxcpp1
Search for the max values of 2D matrix in cpp
findSameSet
Find the same columns from two matrices
getBinary1
Weighted binary set for multiclass data
graycode3
Gray code function for matrix indexes
timma-package
Target Inhibition inference using Maximization and Minimization Averaging
sffsBinary2
Model selection with filtered binary drug-target interaction data
timmaSearchBinary
Prediction in the search space with one.sided TIMMA model
timmaSearchBinary1
Prediction in the search space with two.sided TIMMA model
sffsCategory1
Model selection with sffs for the multi-class drug-target interaction data using two.sided TIMMA model
miller_drugs
A drug list from Miller study
grays
Generate gray code
mincpp
Search for the min values of 3D matrix in cpp
timmaCategoryWeighted
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided and weighted TIMMA model
tyner_sensitivity
The drug sensitivity data
timmaBinary
Predicting drug sensitivity with binary drug-target interaction data
miller_targets
The curated drug-target data for the Miller drugs
maxcpp
Search for the max values of 3D matrix in cpp
sumcpp
Sum for 3D matrix
searchSpace
Generate search space
timmaModel1
Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model
timmaCategoryWeighted1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided and weighted TIMMA model
mincpp1
Search for the min values of 2D matrix in cpp
sumcpp1
Sum for 2D matrix in cpp
sffsCategory
Model selection with sffs for the multi-class drug-target interaction data using one.sided TIMMA model
timmaCategory
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided TIMMA model
tyner_interaction_multiclass
A multi-class drug-target interaction data
timmaBinary1
Predicting drug sensitivity with binary drug-target interaction data using modified maximization and minimization rules
floating2
Filter targets
dec2bin
Convert decimal values to binary values
timmaModel
Predicting drug sensitivity with binary drug-target interaction data