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OJBTM
Online Journal
of Bioinformatics©
8 (1) :
84-98, 2007
A
Unified Framework for
Finding Differentially Expressed Genes in
MPTP
Mouse Model for
Parkinson’s Disease
Shaik J, Yeasin M
1
CVPIA LAB, Department of Electrical and Computer Engineering,
ABSTRACT
Shaik J, Yeasin M, A Unified
Framework for Finding Differentially Expressed Genes in MPTP Mouse
Model for Parkinson’s
Disease, Online
Journal of Bioinformatics, 8
(1) : 84-98, 2007. This
paper presents a unified framework for
knowledge discovery in 1-Methyl-4 Phenyl 1,2,3,6 tetra hydropyridine
lesioned mouse model for Parkinson’s
disease. It is
widely acknowledged that developing a highly accurate single
computational
method is difficult for achieving satisfactory results. To address this
problem, this paper presents a unified framework by judiciously
combining three
different algorithms for finding differentially expressed genes from
the microarray data. The performance of
unified framework was
then assessed using 50 artificially generated microarray
datasets. The unified framework was applied on 3 sets of microarray
data available through the MPTP mouse model for Parkinson’s disease.
Empirical
analyses suggests that the interplay between the 3 modules used in the
unified
framework could uncover several potential genes that might be involved
in the
pathogenesis.
KEY WORDS: Differentially
expressed genes, Microarray data, Parkinson’s Disease,
Progressive framework, Two-way Clustering, Unified Framework.