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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, Onl J Bioinform., 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.