International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 109 - Number 2 |
Year of Publication: 2015 |
Authors: Dipti D. Patil, Prachi Gupta |
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Dipti D. Patil, Prachi Gupta . Growing Hierarchical Self-Organizing Map (GHSOM) for Mining Gene Expression Data. International Journal of Computer Applications. 109, 2 ( January 2015), 16-17. DOI=10.5120/19160-0603
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.