Title:
SYSTEM AND METHOD FOR CLASSIFYING A BODY TISSUE SAMPLE
Document Type and Number:
WIPO Patent Application WO2005088513
Kind Code:
A3
Abstract:
The invention provides a method for classifying a test tissue sample into a class from among K classes, where the test tissue sample has an associated gene expression vector. For each class k from among the K classes, a gene expression matrix is provided based upon a gene expression level in one or more tissue samples known to be in the class k. One or more eigenvectors of the covariance matrix Cx of the centralized gene expression matrix are calculated. A metric muk indicative of an extent of dissimilarity between the gene expression vector and the gene expression matrix is calculated using an algebraic expression involving one or more of the eigenvectors of the matrix Cx. The test tissue sample is then classified into a class k for which the metric muk is minimum among the k classes.
Inventors:
SMITH YOAV (IL)
Application Number:
PCT/IL2005/000288
Publication Date:
January 05, 2006
Filing Date:
March 13, 2005
Export Citation:
Assignee:
UNIV JERUSALEM YISSUM RES DEV (IL)
SMITH YOAV (IL)
SMITH YOAV (IL)
International Classes:
G16B40/20; G06F19/00; G16B25/10; (IPC1-7): G06F19/00
Foreign References:
| US6631204B1 | 2003-10-07 |
Other References:
BICCIATO S ET AL: "Disjoint PCA models for marker identification and classification of cancer types using gene expression data", MINERVA BIOTECNOLOGICA, vol. 14, 2002, pages 281 - 90, XP002352898, Retrieved from the Internet [retrieved on 20051107]
MUSUMARRA G ET AL: "A BIOINFORMATIC APPROACH TO THE IDENTIFICATION OF CANDIDATE GENES FOR THE DEVELOPMENT OF NEW CANCER DIAGNOSTICS", BIOLOGICAL CHEMISTRY, XX, XX, vol. 384, no. 2, February 2003 (2003-02-01), pages 321 - 327, XP009053237, ISSN: 1431-6730
GOLUB T R ET AL: "MOLECULAR CLASSIFICATION OF CANCER: CLASS DISCOVERY AND CLASS PREDICTION BY GENE EXPRESSION MONITORING", SCIENCE, AMERICAN ASSOCIATION FOR THE ADVANCEMENT OF SCIENCE,, US, vol. 286, 15 October 1999 (1999-10-15), pages 531 - 537, XP002943419, ISSN: 0036-8075
DUDOIT S ET AL: "COMPARISON OF DISCRIMINATION METHODS FOR THE CLASSIFICATION OF TUMORS USING GENE EXPRESSION DATA", JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, AMERICAN STATISTICAL ASSOCIATION, NEW YORK, US, vol. 97, no. 457, 2002, pages 77 - 87, XP009054005, ISSN: 0162-1459
HUAN LIU ET AL: "On issues of instance selection", DATA MINING AND KNOWLEDGE DISCOVERY KLUWER ACADEMIC PUBLISHERS NETHERLANDS, vol. 6, no. 2, 2002, pages 115 - 130, XP002352899, ISSN: 1384-5810
MUSUMARRA G ET AL: "A BIOINFORMATIC APPROACH TO THE IDENTIFICATION OF CANDIDATE GENES FOR THE DEVELOPMENT OF NEW CANCER DIAGNOSTICS", BIOLOGICAL CHEMISTRY, XX, XX, vol. 384, no. 2, February 2003 (2003-02-01), pages 321 - 327, XP009053237, ISSN: 1431-6730
GOLUB T R ET AL: "MOLECULAR CLASSIFICATION OF CANCER: CLASS DISCOVERY AND CLASS PREDICTION BY GENE EXPRESSION MONITORING", SCIENCE, AMERICAN ASSOCIATION FOR THE ADVANCEMENT OF SCIENCE,, US, vol. 286, 15 October 1999 (1999-10-15), pages 531 - 537, XP002943419, ISSN: 0036-8075
DUDOIT S ET AL: "COMPARISON OF DISCRIMINATION METHODS FOR THE CLASSIFICATION OF TUMORS USING GENE EXPRESSION DATA", JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, AMERICAN STATISTICAL ASSOCIATION, NEW YORK, US, vol. 97, no. 457, 2002, pages 77 - 87, XP009054005, ISSN: 0162-1459
HUAN LIU ET AL: "On issues of instance selection", DATA MINING AND KNOWLEDGE DISCOVERY KLUWER ACADEMIC PUBLISHERS NETHERLANDS, vol. 6, no. 2, 2002, pages 115 - 130, XP002352899, ISSN: 1384-5810
Download PDF: