Sheela, T. and Namratha Raj, M. and Lalitha, R. (2018) Signaling pathway impact analysis through significance analysis of microarray gene expression data. International Journal of Data Mining And Emerging Technologies, 8 (1). pp. 48-57. ISSN 2249-3220
Full text not available from this repository. (Request a copy)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 differentially expressed 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 output of signaling pathway impact analysis by identifying differentially expressed genes using Significance Analysis of Microarray (SAM) gene selection method.
| Item Type: | Article |
|---|---|
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Manjula P Library Assistant |
| Date Deposited: | 26 Jul 2019 08:14 |
| Last Modified: | 26 Jul 2019 08:14 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/5926 |
Actions (login required)
 |
View Item |
