Open Access Open Access  Restricted Access Subscription or Fee Access

An Unsupervised Gene Selection Method Based on Multiobjective Ant Colony Optimization

Atefeh Naseri, Seyed Mohammad Hossein Hasheminejad


The feature selection process can be defined as an optimization problem aimed to find all the relevant and informative features from the whole set of features. Most feature selection methods use class labels and are considered as supervised methods. But access to these labels is not possible in many real world problems. The identification of a subset of effective genes from the microarray data is one of these problems, which plays a key role in discovery and treatment of diseases. An unsupervised gene selection method based on the multiobjective ant colony optimization has been proposed in this study in which both univariate and multivariate techniques are used for evaluation of the relationship between genes to calculate the fitness function, so that with considering the correlation between genes it will have a better performance in addition to speed. This method was used to find the genes with the highest discriminative power and the minimum level of similarity and redundancy. According to the results, the accuracy of the proposed method has improved in most cases than other methods. On the other hand, it has reported that the proposed method has a low computational complexity, so it can be used for large-scale datasets.


Gene Selection, Feature Selection, Multi-Objective Ant Colony Optimization (MOACO), Microarray Data.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.