International Journal of Data Mining and Emerging Technologies
  • Year: 2018
  • Volume: 8
  • Issue: 1

Signaling Pathway Impact Analysis through Significance Analysis of Microarray Gene Expression Data

1Research Scholar, Department of Computer Science and Engineering, National Institute of Technology, Surathkal, Karnataka, India

2Under graduate Student, Department of Computer Science and Engineering, National Institute of Technology, Surathkal, Karnataka, India

3Assistant Professor, Department of Studies in Computer Science, Manasagangotri, University of Mysore, Mysore, Karnataka, India

*Corresponding author email id: sheelat@compsci.uni-mysore.ac.in

Abstract

The aim of signaling pathway impact analysis is to identify significant pathways which are related to a disease. Identification of significant pathways is possible by finding differentiallyexpressed genes, the level of differential expression, as well as the effect of interaction with other genes in the pathway. In this study, we have suggested an approach to improve the outputof signaling pathway impact analysis by identifying differentially expressed genes using Significance Analysis of Microarray (SAM) gene selection method.

Keywords

Signaling pathway impact analysis, Differential gene expression, Significant pathways, Gene selection, Significance analysis of microarray