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OJB

Online Journal of Bioinformatics
 

Volume 5:32-48, 2004.


Wave analysis of microarray expression as predictor of gene expression in tumors.

 

Alok Gupta and Shipra Agrawal*

 

Indian Institute of Information Technology Allahabad, Deoghat Jhalwa Campus, RajRooppur Road, India

 

ABSTRACT

 

Gupta A, Agrawal S., Wave analysis of microarray expression as predictor of gene expression in tumors. Onl J Bioinform., 5:32-48, 2004. Microarray gene expression, analyzed by cluster data algorithms may be used to characterize phenotypic variables such as tumor type and gene mutational status. In this study, microarray data from human fibroblasts taken from ten anatomical sites was transformed to wave data (wave transform).  Analysis showed that the genes responsible for fibroblastic serum response were regulated in a coordinated manner in tumors which could allow identification of tumors with specific gene expression signatures. The findings suggest that classifiers for specific cancer types could be used to predict the progression behavior of cancers and prognosis.

 

Key words: Wavelet transforms, array expression analysis and human cancer.


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