DrugClustKMeansEnrichment: DrugClustKMeansEnrichment
In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects
Description
Usage
Arguments
Value
Examples
Description
Function Implementing DrugClust with KMeans and Enrichment
Usage
1
DrugClustKMeansEnrichment(num_clusters, features, pharmat)
Arguments
num_clusters
number of clusters desired
features
matrix features
pharmat
matrix of side effects
Value
number of pathways for various clusters
Examples
1
2
#features is the features matrix
#resultSeeds<-DrugClustKMeansEnrichment(4,features)
Example output
DrugClust documentation built on May 2, 2019, 11:06 a.m.
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Description Usage Arguments Value Examples
Description
Function Implementing DrugClust with KMeans and Enrichment
Usage
1 | DrugClustKMeansEnrichment(num_clusters, features, pharmat)
|
Arguments
num_clusters |
number of clusters desired |
features |
matrix features |
pharmat |
matrix of side effects |
Value
number of pathways for various clusters
Examples
1 2 | #features is the features matrix
#resultSeeds<-DrugClustKMeansEnrichment(4,features)
|
Example output
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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