conditionalModel: Implements the conditional Bayes model to combine VIPER...
In califano-lab/MOMA: Multi Omic Master Regulator Analysis
Description
Usage
Arguments
Value
Description
Implements the conditional Bayes model to combine VIPER scores with diggit
and pathway scores
Usage
1
conditionalModel(viper.scores, diggit.scores, pathway.scores)
Arguments
viper.scores
numeric Vector
diggit.scores
List indexed by type char, with numeric score vectors in [0,R+] for each
pathway.scores
List , double indexed by each pathway dataset,
then with type char. Each points to a numeric score vectors in [0,R+] for each
Value
a named vector of empirical p-values for each protein/candidate Master Regulator
califano-lab/MOMA documentation built on June 7, 2020, 7:17 a.m.
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Description Usage Arguments Value
Description
Implements the conditional Bayes model to combine VIPER scores with diggit and pathway scores
Usage
1 | conditionalModel(viper.scores, diggit.scores, pathway.scores)
|
Arguments
viper.scores |
numeric Vector |
diggit.scores |
List indexed by type char, with numeric score vectors in [0,R+] for each |
pathway.scores |
List , double indexed by each pathway dataset, then with type char. Each points to a numeric score vectors in [0,R+] for each |
Value
a named vector of empirical p-values for each protein/candidate Master Regulator
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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