Statistical Techniques for Microarray Technology

Authors

  • Bindu Punathumparambath Department of Statistics, St.Thomas College, Pala, Kerala, India
  • Sebastian George Department of Statistics, St.Thomas College, Pala, Kerala, India
  • Kannan V.M. Department of Zoology, University of Calicut, Kerala, India

DOI:

https://doi.org/10.26713/jims.v3i3.56

Keywords:

cDNA microarray, Gene expression data, mixed Guassian

Abstract

Microarray technology enable researchers to measure the expression levels for thousands of genes simultaneously. This paper describes the microarray technology and general methodology for the analysis of differential gene expression data from microarray experiments. First, we will provide a review of basic microarray concepts and an overview of some of the major statistical developments in microarray data analysis. In this work, we propose the two component Mixed Gaussian distribution as an approximation for the log-ratios of the measured gene expression across genes.

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CITATION

How to Cite

Punathumparambath, B., George, S., & V.M., K. (2011). Statistical Techniques for Microarray Technology. Journal of Informatics and Mathematical Sciences, 3(3), 257–275. https://doi.org/10.26713/jims.v3i3.56

Issue

Vol. 3 No. 3 (2011)

Section

Research Articles

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