General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2014 Vol.6(5): 386-391 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.895

Exploring Different Stages of Alzheimer‟s Disease through Topological Analysis of Differentially Expressed Genetic Networks

Aurpan Majumder and Mrityunjay Sarkar

Abstract—Inter-organ dependency of different regions/genes in an eukaryote is nowadays a most challenging issue for researchers. Some neurodegenerative disorders (such as Alzheimer‟s Disease (A.D)) in a particular organ (Brain) show differential expression patterns across different regions and they are affected by one another. In this work, we have proposed an extended version of an existing concept (Topological Overlap (T.O)). Here we have gone through a “weighted T.O” analysis approach which shows interdependency of all genes present in a network unlike “unweighted T.O” which shows gene dependency of only some significantly connected genes in a network. The weighted as well as un-weighted counterpart helps us to understand the dependency of genes which are responsible for generation and spreading of A. D. Finally, we have ranked the genes (Differentially expressed across different stages of AD) upon the T.O value based permutation test/„t-test‟ and crosschecked the ranked results with a recently published novel ranking scheme. We have also checked the significance of top 15 genes from both methods. In result section we have shown that our method is better than existing one.

Index Terms—Alzheimer‟s disease, G. O., KEGG pathways, topological overlap, weighted and un-weighted measure.

A. Majumder is with the Department of Electronics and Communication Engineering, N.I.T Durgapur, 713209 India (e-mail: aurpan.nitd@gmail.com).
M. Sarkar is with the Department of Electronics and Communication Engineering, D.I.A.T.M Durgapur, 713212 India (e-mail: mrityu1488@gmail.com).

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Cite:Aurpan Majumder and Mrityunjay Sarkar, "Exploring Different Stages of Alzheimer‟s Disease through Topological Analysis of Differentially Expressed Genetic Networks," International Journal of Computer Theory and Engineering vol. 6, no. 5, pp. 386-391, 2014.


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