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OJBTM
Online
Journal of Bioinformatics©
Volume 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 J 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.