Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/34964
DC Field | Value | |
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dc.title | LIPID TUMOUR PROFILE | |
dc.contributor | NATIONAL UNIVERSITY OF SINGAPORE | |
dc.contributor.author | WENK MARKUS R. | |
dc.contributor.author | CHUA GEK HUEY | |
dc.contributor.author | FERNANDIS AARON ZEFRIN | |
dc.contributor.author | GUAN XUELI | |
dc.date.accessioned | 2012-10-08T08:23:27Z | |
dc.date.available | 2012-10-08T08:23:27Z | |
dc.date.issued | 2011-01-27 | |
dc.identifier.citation | WENK MARKUS R.,CHUA GEK HUEY,FERNANDIS AARON ZEFRIN,GUAN XUELI (2011-01-27). LIPID TUMOUR PROFILE. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/34964 | |
dc.description.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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/http://analytics.patsnap.com/patent_view/view?pn=US20110021451A1 | |
dc.source | PatSnap | |
dc.type | Patent | |
dc.contributor.department | BIOCHEMISTRY | |
dc.identifier.isiut | NOT_IN_WOS | |
dc.description.patentno | US20110021451A1 | |
dc.description.patenttype | Published Application | |
Appears in Collections: | Staff Publications |
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US20110021451A1.PDF | 618.51 kB | Adobe PDF | OPEN | Published | View/Download |
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