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Proceedings Paper

Automation of pattern recognition in cDNA microarray data: an application to gene-based diagnostic prediction of cancers
Author(s): Liya Wang; Amir H. Assadi
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Paper 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.

Paper Details

Date Published: 24 November 2002
PDF: 11 pages
Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); doi: 10.1117/12.454825
Show Author Affiliations
Liya Wang, Univ. of Wisconsin/Madison (United States)
Amir H. Assadi, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 4794:
Vision Geometry XI
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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