Protein Classification Using Hybrid Feature Selection Technique

Abstract

Protein function prediction is a challenging classification problem. A computational method is vital to perform the function prediction of Proteins. For this various Feature Selection techniques had proposed by eminent researcher. But several techniques are model based or for a specific type of problem. In this paper, we make a comparative analysis of different supervised machine learning methods for the prediction of functional classes of proteins using a set of physiochemical features. For an attribute or feature selection we have used a novel hybrid feature selection technique to overcome some of the limitations of existing technique and also present a comparative analysis of the classification of enzymes function or family using different computational intelligence techniques with proposed hybrid feature selection.