CRAN/E | DrugClust

DrugClust

Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Installation

About

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).

Key Metrics

Version 0.2
Published 2016-04-23 2918 days ago
Needs compilation? no
License GPL-2
CRAN checks DrugClust results

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Maintainer

Maintainer

Giovanna Maria Dimitri

gmd43@cam.ac.uk

Authors

Giovanna Maria Dimitri

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DrugClust archive

Imports

ROCR
MESS
cclust
cluster
e1071
utils
base