The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 9213030 B1

PDF
Full Text
Expired
Date of Patent:
Dec. 14, 2015

Filed:

Jan. 27, 2009
Applicants:

Markus R. Wenk, Singapore, SG;

Gek Huey Chua, Singapore, SG;

Aaron Zefrin Fernandis, Singapore, SG;

Xueli Guan, Singapore, SG;

Inventors:

Markus R. Wenk, Singapore, SG;

Gek Huey Chua, Singapore, SG;

Aaron Zefrin Fernandis, Singapore, SG;

Xueli Guan, Singapore, SG;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06G 7/48 (2005.12); G01N 33/574 (2005.12); G01N 33/92 (2005.12); G06F 19/24 (2010.12); G06F 19/18 (2010.12);
U.S. Cl.
CPC ...
G01N 33/57449 (2012.12); G01N 33/92 (2012.12); G06F 19/24 (2012.12); G01N 2800/60 (2012.12); G06F 19/18 (2012.12);
Abstract

We describe a method of generating a classification model capable of distinguishing between two biological states, the method comprising the steps of: (a) providing a training dataset, X, comprising concentrations of a plurality of lipids in a biological sample in a first state and a biological sample in a second state; (b) subjecting the training dataset X to Principal Components Analysis (PCA), in which the PCA analysis generates a transformation matrix, C, and a transformed dataset, Y; (c) subjecting the transformed dataset Yto Support Vector Machines (SVM) analysis, in which the SVM analysis generates a SVM model, S; (d) forming a classification model comprising (i) the transformation matrix C, and (ii) the corresponding SVM model S.


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