An Improved Method of Integration of Pathway Selection Into Meta-Analysis For Pathway Enrichment Method For Improving Classification Accuracy

Abstract

With the rapid development of technologies and improvement in genomic studies, it is a new challenge to integrate information from various genomic backgrounds. As in Biomedical research, microarray has become one of the most commonly used tools to reveal relevant genes associated with a disease. In this article, a quantitative tool is proposed in order to assist a study on the meta-analysis process for better classification accuracy. The tool allows flexible input of experimental data, various clinical outcomes (two-class, multi-class, continuous, or survival) and pathway databases. It also allows missing values in experimental data set for gene expressions. The tool is able to generate informative output and graph plotting despite allowing it to operate on the different operating systems and flexible enough to changes and improvements to include new algorithms.