ksea_batchKinases: Batch KSEA for all kinase regulons
In evocellnet/ksea: Kinase Activity Prediction based in Quantitative Phosphoproteomic Data
Description
Usage
Arguments
Details
Value
Author(s)
Description
Runs KSEA in batch for all Kinase-Substrates
Usage
1
ksea_batchKinases(ranking, logvalues, regulons, trial = 1000)
Arguments
ranking
vector with all quantified positions
logvalues
vector with all quantifications
regulons
list containing vectors with substrates of each kinase. Substrates
should be encoded with the same id as the ranking vector.
trial
Number of permutations used for the empirical p-value generation.
Details
This functions allows to run the KSEA in a given dataset for all provided kinases.
The function makes use of all available cores in the computer (using parallel)
package.
Value
A vector of p-values containing all KSEA p-values for all
Author(s)
David Ochoa
evocellnet/ksea documentation built on May 16, 2019, 9:40 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Runs KSEA in batch for all Kinase-Substrates
Usage
1 | ksea_batchKinases(ranking, logvalues, regulons, trial = 1000)
|
Arguments
ranking |
vector with all quantified positions |
logvalues |
vector with all quantifications |
regulons |
list containing vectors with substrates of each kinase. Substrates
should be encoded with the same id as the |
trial |
Number of permutations used for the empirical p-value generation. |
Details
This functions allows to run the KSEA in a given dataset for all provided kinases.
The function makes use of all available cores in the computer (using parallel)
package.
Value
A vector of p-values containing all KSEA p-values for all
Author(s)
David Ochoa
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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