A Proposed Robust Computational Network Modelling to Optimally Investigate Gene Data

Abstract

Extracting informative contents of clinical importance from gene expression is challenging in bioinformatics. However, reviewing existing literature reviews found that almost all the frequently adopted techniques for analyzing gene expression data are associated with problems. Therefore, the proposed system offers a cost-effective framework that contributes to a simplified text mining approach with a novel design of gene-network analysis followed by optimization to incorporate novelty in this field.