Dimensionality reduction applied to gene expression is challenging for machine learning algorithms due to a small number of samples and a high number of attributes. This paper proposes a preprocessing phase by means of random projection method in microarray data. Experimental results are promising and it shows that the use of this method improves the performance of classification algorithms.
['Helyane Bronoski Borges', 'Julio Cesar Nievola']
Dimensionality Reduction in Gene Expression Database through the Random Projection Method