SYSTEMS AND METHODS FOR DISEASE DIAGNOSIS

WIPO Patent Application WO2005084279

A3

The present invention is directed to improved systems and methods for distinguishing and classifying subjects based on analysis of biological materials. Methods for the analysis of multivariate data collected from a plurality of subjects of known class are provided. The results of such analyses include a set of intermediate combined classifiers as well as a metal variable that relates directly to the classes of the subjects in a training population. Both the intermediate combined classifiers and the final meta model are used to distinguish and classify subjects of previously unknown class.

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WELLS MARTIN D (US)
TURNER CHRISTOPHER T (US)
JACOBSON PETER N (US)

PCT/US2005/006452

September 14, 2006

February 28, 2005

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APPLIED METABOLITICS IT LLC (US)
WELLS MARTIN D (US)
TURNER CHRISTOPHER T (US)
JACOBSON PETER N (US)

G01N33/48; G16B40/20; G06E1/00; G06F15/18; G06F19/00; G06G7/00; G16B25/10; G16B40/30

US20020046198A1	2002-04-18
US6683162B2	2004-01-27

PETRICOIN ET AL.: "Use of Proteomic Patterns in Serum to Identify Ovarian Cancer", THE LANCET, vol. 359, February 2002 (2002-02-01), pages 572 - 577, XP004798095
ZHU ET AL.: "Detection of Cancer-specific Markers amid Massive Mass Spectral Data", PNAS, vol. 100, 2003, pages 14666 - 14671, XP003024459

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