Developing an Appropriate Data Normalization Method

Abstract

The issue of data normalization has been extensively studied with respect to many different applications, for example it has especially became an essential topic in study of gene expression. However, before implementing any normalization of data, it is first necessary to establish whether the data requires to be normalized, and this can be determined by a simple test-bench test. Our test-bench compared seven well-known normalization techniques for nine possible Interaural Level Differences (ILD) sensitivity functions, types of biological data. These nine realistic ILD functions were systematically modified to be delivered at the most suitable normalization technique. This method then helped to select a coherent normalization technique for the data before applying the statistical technique of Cluster Analysis which can be explored in future studies.