File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/BMEI.2008.205
- Scopus: eid_2-s2.0-51549087947
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Exploring protein regulations with regulatory networks for cancer classification
Title | Exploring protein regulations with regulatory networks for cancer classification |
---|---|
Authors | |
Issue Date | 2008 |
Citation | BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, 2008, v. 1, 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. © 2008 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/251657 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Hong Qiang | - |
dc.contributor.author | Zhu, Hai Long | - |
dc.contributor.author | Yip, Timothy T.C. | - |
dc.contributor.author | Cho, William C.S. | - |
dc.contributor.author | Ngan, Roger K.C. | - |
dc.contributor.author | Law, Stephen C.K. | - |
dc.date.accessioned | 2018-03-08T05:00:36Z | - |
dc.date.available | 2018-03-08T05:00:36Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, 2008, v. 1, p. 133-137 | - |
dc.identifier.uri | http://hdl.handle.net/10722/251657 | - |
dc.description.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. © 2008 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 | - |
dc.title | Exploring protein regulations with regulatory networks for cancer classification | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/BMEI.2008.205 | - |
dc.identifier.scopus | eid_2-s2.0-51549087947 | - |
dc.identifier.volume | 1 | - |
dc.identifier.spage | 133 | - |
dc.identifier.epage | 137 | - |