Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37758
Title: Exploring protein regulations with regulatory networks for cancer classification
Authors: Wang, HQ
Zhu, HL
Yip, TC
Keywords: Biomarker
Cancer
Classification
Protein
Regulatory network
Issue Date: 2008
Source: International Conference on Biomedical Engineering and Informatics, 2008 : BMEI 2008 ; 27 - 30 May 2008, Sanya, Hainan, China, p. 133-137 How to cite?
Abstract: This paper proposes a novel modeling technique for understanding cancer signal pathway and applies to cancer classification. In the approach, specific to a cancer group, a regulatory network is constructed between biomarkers and is optimized towards minimizing its energy function that is defined as disagreement between input and output of the network. The non-linear version of this network is achieved by imposing a sigmoid kernel function. The proposed approach is tested on protein profiling data of nasopharyngeal carcinoma and is compared with support vector machines with linear and radial basis function kernels.
URI: http://hdl.handle.net/10397/37758
ISBN: 978-0-7695-3118-2
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

48
Last Week
0
Last month
Citations as of Jun 18, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.