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timma (version 1.0.0)
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
51
Version
1.0.0
License
Artistic License 2.0
Maintainer
Liye He
Last Published
December 22nd, 2014
Functions in timma (1.0.0)
Search functions
miller_drug_response
The single drug does-response data from the Miller study
miller_sensitivity
The scaled drug sensitivity data for the Miller drugs
miller_interaction_binary
The binarized drug-target data for the Miller drugs
sffs
SFFS switch function
searchSpace
Generate search space
sffsCategory1
Model selection with sffs for the multi-class drug-target interaction data using two.sided TIMMA model
tyner_interaction_multiclass
A multi-class drug-target interaction data
sumcpp
Sum for 3D matrix
tyner_interaction_binary
A binary drug-target interaction data
dec2bin
Convert decimal values to binary values
maxcpp1
Search for the max values of 2D matrix in cpp
miller_drugs
A drug list from Miller study
maxcpp
Search for the max values of 3D matrix in cpp
mincpp1
Search for the min values of 2D matrix in cpp
timmaCategory1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided TIMMA model
miller_targets
The curated drug-target data for the Miller drugs
findSameSet
Find the same columns from two matrices
grays
Generate gray code
kiba
Kiba interaction data
sffsBinary1
Model selection with sffs for the binary drug-target interaction data using two.sided TIMMA model
tyner_sensitivity
The drug sensitivity data
timmaSearchBinary1
Prediction in the search space with two.sided TIMMA model
sffsBinary2
Model selection with filtered binary drug-target interaction data
timma
Main function for the timma package
floating2
Filter targets
sumcpp1
Sum for 2D matrix in cpp
drugRank
Generate the list of ranked drug combinations
graycode3
Gray code function for matrix indexes
timmaModel1
Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model
sffsCategory
Model selection with sffs for the multi-class drug-target interaction data using one.sided TIMMA model
timmaModel
Predicting drug sensitivity with binary drug-target interaction data
sffsCategoryWeighted
Model selection with sffs for the multi-class drug-target interaction data using one.sided and weighted TIMMA model
timmaSearchBinary
Prediction in the search space with one.sided TIMMA model
getBinary
Binary set for multiclass data
timmaCategoryWeighted
Predicting drug sensitivity with multi-class drug-target interaction data using one.sided and weighted TIMMA model
graycode2
Graycode Function
timmaBinary
Predicting drug sensitivity with binary drug-target interaction data
timmaCategoryWeighted1
Predicting drug sensitivity with multi-class drug-target interaction data using two.sided and weighted TIMMA model
ci
The combination index extracted from Figure 1B of the Miller study
getBinary1
Weighted binary set for multiclass data
mincpp
Search for the min values of 3D matrix in cpp
sffsBinary
Model selection with sffs for the binary drug-target interaction data
binarySet
Search for supersets and subsets
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
sffsCategoryWeighted1
Model selection with sffs for the multi-class drug-target interaction data using two.sided and weighted TIMMA model
timma-package
Target Inhibition inference using Maximization and Minimization Averaging
drawGraph
Draw graph function
findSameCol
Find the same column from a matrix
graycodeNames
Names for the predicted sensitivity matrix