Automation of pattern recognition in cDNA microarray data: an application to gene-based diagnostic prediction of cancers

Liya Wang; Amir H. Assadi

doi:10.1117/12.454825

24 November 2002 Automation of pattern recognition in cDNA microarray data: an application to gene-based diagnostic prediction of cancers

Liya Wang, Amir H. Assadi

Author Affiliations +

Proceedings Volume 4794, Vision Geometry XI; (2002) https://doi.org/10.1117/12.454825
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

The purpose of this paper is two-fold: (a) to demonstrate that pattern recognition methods in image processing leads to a noticeable improvement in bioinformatics, specifically, analysis of microarray data in gene expression correlated to cancer; (b) to bring the utility of geometric methods in pattern recognition to attention of researchers in bioinformatics and molecular biologists. Our method of analysis is seen to readily provide great improvement over the latest published methods in bioinformatics. We also hope that in the process, we provide mathematical insight into the problems of microarray data analysis from the point of view of signal processing and learning theory.

Citation Download Citation

Liya Wang and Amir H. Assadi "Automation of pattern recognition in cDNA microarray data: an application to gene-based diagnostic prediction of cancers", Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); https://doi.org/10.1117/12.454825

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