PAM_Model: PAM_Model
In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects
Description
Usage
Arguments
Value
Examples
Description
PAM clustering algorithm Model
Usage
1
PAM_Model(pamx, num_clusters, trainpharmat, train)
Arguments
pamx
result of pam clustering algorithm
num_clusters
number of clusters desired
trainpharmat
matrix of training for side effects
train
matrix of train features
Value
A matrix of model for prediction of uncharacterised drugs, given PAM clustering
Examples
1
2
3
4
#pamx is the result of the PAM function
#trainpharmat is the side effect train matrix
#train is the feature train matrix
#A<-PAM_Model(pamx,4,trainpharmat,train)
Example output
DrugClust documentation built on May 2, 2019, 11:06 a.m.
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Description Usage Arguments Value Examples
Description
PAM clustering algorithm Model
Usage
1 | PAM_Model(pamx, num_clusters, trainpharmat, train)
|
Arguments
pamx |
result of pam clustering algorithm |
num_clusters |
number of clusters desired |
trainpharmat |
matrix of training for side effects |
train |
matrix of train features |
Value
A matrix of model for prediction of uncharacterised drugs, given PAM clustering
Examples
1 2 3 4 | #pamx is the result of the PAM function
#trainpharmat is the side effect train matrix
#train is the feature train matrix
#A<-PAM_Model(pamx,4,trainpharmat,train)
|
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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