Gastric Cancer Analysis In Data Mining Techniques

Authors(2) :-Barathiraja S, R. Karthiyayini

Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world. The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors. With more and more expression data accumulated nowadays, a case of primary squamous cell carcinoma of the stomach is reported and the previously reported cases are reviewed. We can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer. In the present work, we screened the published cell expression data and analyzed them with integrative tool combined with pathway and cell ontology enrichment investigation. Considering not only the stage of disease, but also patientsí age and comorbidities. Experimental validation is proposed to further confirm this finding.

Authors and Affiliations

Barathiraja S
Master of Computer Application, University College of Engineering, Anna University, BIT Campus, Tiruchirapalli, Tamil Nadu, India
R. Karthiyayini
Master of Computer Application, University College of Engineering, Anna University, BIT Campus, Tiruchirapalli, Tamil Nadu, India

Data Mining, Integrative Analysis, Bootstrap Function, R Graphics

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 33-37
Manuscript Number : CSEIT1722369
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Barathiraja S, R. Karthiyayini, "Gastric Cancer Analysis In Data Mining Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.33-37, May-June.2017
URL : http://ijsrcseit.com/CSEIT1722369

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