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Defining biological states and related genes, proteins and patterns

United States Patent Application

20020169562
A1
View the Complete Application at the US Patent & Trademark Office
Disclosed are a variety of methods and computer systems for use in the analysis of gene and protein expression data. Also disclosed are methods for the definition of the cellular state of cells and tissues from multidimensional physiological data such as those obtained from gene expression measurements with DNA microarrays. A variety of classification methods can be applied to expression data to achieve this goal. Demonstrated is the application of several statistical tools including Wilks' lambda ratio of within-group to total variance, Fisher Discriminant Analysis, and the misclassification error rate to the identification of discriminating genes and the overall classification of expression data. Examples from several different cases demonstrate the ability of the method to produce well-separated groups in the projection space representing distinct physiological states. The method can be augmented and is useful in disease diagnosis, drug screening and bioprocessing applications.
Stephanopoulos, Gregory (Chester, MA), Misra, Jatin (Cambridge, MA), Hwang, Daehee (Cambridge, MA), Schmitt, William A. JR. (Boston, MA), Alevizos, Ilias (Watertown, MA), Silva, Saliya Sudharshana (Kandy, LK), Gill, Ryan T. (Boulde, CO)
10/ 060,048
January 29, 2002
[0002] The subject invention was made in part with support from the Engineering Research Program of the Office of Basic Energy Science at the Department of Energy, Grant No. DE-FG02-94ER-14487 and DE-FG02-99ER-15015. Additional support was provided by NlH grant number 1-RO1-DK58533-01. Accordingly, the U.S. Government has certain rights in this invention.