Gene Identification Method for use on Microarrays
Microarray gene chips can identify hundreds or even thousands of genes expressed in a given tissue. More importantly, they can be used to examine differences in gene expression between two samples such as in a comparison of healthy versus diseased tissue. While such knowledge is invaluable to the study and diagnosis of pathological processes, a significant drawback for gene microarray studies is that the sheer number of genes that are measured can obscure the optimal set of genes that may be of any prognostic value. Thus, in order to determine which genes among many thousands are useful outcome predictors; this technology is an algorithm that examines the covariant interactions between large numbers of genes using a modified multivariate random search method. The method applies a short local search procedure multiple times and then uses all of the selected genes for further analysis in subsequent multiple comparisons.
*Gene arrays yield tremendous amounts of information that require sophisticated computational methods to make sense of it all. Bioinformatics studies can use this novel method to analyze and compare large sets of genetic data.
*Relevant to perform in silico analysis on studies for clinical diagnostics, pharmaceutical profiling and development, pathophysiology, and basic biological research.
*Useful for the production of in-house or commercially distributed software.
Stage of Development
The international patent application PCT/US03/05730 (publication # WO 03/074658 A2) has been nationalized in the United States, Europe and Canada. This technology is available for further developmental research support and licensing under either exclusive or non-exclusive terms.
A. Chilingaryan, N. Gevorgyan, A. Vardanyan, D. Jones and A. Szabo, Multivariate Approach for Selecting Sets of Differentially Expressed Genes, Math. Biosciences, Vol. 176(1) (2002), pp. 59-69, Elsevier Science Inc. PII: S0025-5564(01)00105-5.
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