InitFeatures

name of the file where the features are stored.The file needs to be in the same folder where you have the code.

namefeatures


Initialize the features matrix. The data needs to be binary matrices where each row is a
drug, and columns represents drugs features. If the element in position ij is 1 it means that the ith drug interacts with the jth element
(for example a protein). The same for the matrix where side effects are stored.


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).

InitFeatures: InitFeatures

Description

Usage

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Examples