Feature selection for Protein Fold Recognition using Vortex search algorithm

Feature selection is one of the most important steps of pre-processing data, which aims to select a subset of relevant features. On the other hand, extracting effective features is one of the challenges in protein fold recognition. In this paper, we propose a feature selection method based on Vortex Search Algorithm (VSA). In addition, Map/Reduce framework has been implemented as a speedup technique to feature selection. In the proposed method, in each step of map function, VSA is employed to find an optimization subset of features, and map and reduce functions are executed in parallel mode. Finally, we evaluated the proposed method in classification of a benchmark dataset for protein fold recognition. The experimental results indicate that the proposal method improves prediction accuracy by ~10%.

Keywords:

feature selection , vortex search algorithm , Map/Reduce , protein folding recognition