CRAN

DrugClust 0.2

Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Released Apr 23, 2016 by Giovanna Maria Dimitri

This package is available for Renjin and there are no known compatibility issues.

Dependencies

cluster 2.0.7-1 MESS 0.5.0 ROCR 1.0-7 e1071 1.6-8 cclust 0.6-21

An implementation of a Machine Learning Framework for prediction of new drugs Side Effects. Firstly drugs are clustered with respect to their features description and secondly predictions are made, according to Bayesian scores. Moreover it can perform protein enrichment considering the proteins clustered together in the first step of the algorithm. This last tool is of extreme interest for biologist and drug discovery purposes, given the fact that it can be used either as a validation of the clusters obtained, as well as for the possible discovery of new interactions between certain side effects and non targeted pathways. Clustering of the drugs in the feature space can be done using K-Means, PAM or K-Seeds (a novel clustering algorithm proposed by the author).

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>DrugClust</artifactId>
    <version>0.2-b24</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:DrugClust')

Test Results

This package was last tested against Renjin 0.9.2635 on Apr 26, 2018.

Source

R

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Release History