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.
