Growing Hierarchical Self-Organizing Map (GHSOM) for Mining Gene Expression Data

Abstract

This paper introduces a comprehensive review of a Growing Hierarchical Self-Organizing Map (GHSOM) reported in the specified writing. Investigating gene expression data is a very difficult problem due to the large amount of genes inspected. Computational methods have proved reliable to make sense of large amounts of data like the data obtained from microarray analysis. In this paper, we present inadequacies of standard algorithms K-Mean and self-organizing Map (SOM) and how GHSOM overcome these.