Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/34964
Title: LIPID TUMOUR PROFILE
Authors: WENK MARKUS R. 
CHUA GEK HUEY 
FERNANDIS AARON ZEFRIN 
GUAN XUELI 
Issue Date: 27-Jan-2011
Source: WENK MARKUS R.,CHUA GEK HUEY,FERNANDIS AARON ZEFRIN,GUAN XUELI (2011-01-27). LIPID TUMOUR PROFILE. ScholarBank@NUS Repository.
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.sub.l; (c) subjecting the transformed dataset Y.sub.l to 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/34964
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