24 November 2002 Automation of pattern recognition in cDNA microarray data: an application to gene-based diagnostic prediction of cancers
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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.
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Liya Wang, 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); doi: 10.1117/12.454825; https://doi.org/10.1117/12.454825
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