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- Publisher Website: 10.1109/BIBE.2004.1317352
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Conference Paper: Identifying projected clusters from gene expression profiles
Title | Identifying projected clusters from gene expression profiles |
---|---|
Authors | |
Issue Date | 2004 |
Publisher | IEEE, Computer Society. |
Citation | Proceedings - Fourth Ieee Symposium On Bioinformatics And Bioengineering, Bibe 2004, 2004, p. 259-266 How to Cite? |
Abstract | In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to detect the clusters. In recent years a number of algorithms have been proposed to identify this kind of projected clusters, but many of them rely on some critical parameters whose proper values are hard for users to determine. In this paper a new algorithm that dynamically adjusts its internal thresholds is proposed. It has a low dependency on user parameters while allowing users to input some domain knowledge should they be available. Experimental results show that the algorithm is capable of identifying some interesting projected clusters from real microarray data. |
Persistent Identifier | http://hdl.handle.net/10722/46597 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yip, KY | en_HK |
dc.contributor.author | Cheung, DW | en_HK |
dc.contributor.author | Ng, MK | en_HK |
dc.contributor.author | Cheung, KH | en_HK |
dc.date.accessioned | 2007-10-30T06:53:50Z | - |
dc.date.available | 2007-10-30T06:53:50Z | - |
dc.date.issued | 2004 | en_HK |
dc.identifier.citation | Proceedings - Fourth Ieee Symposium On Bioinformatics And Bioengineering, Bibe 2004, 2004, p. 259-266 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/46597 | - |
dc.description.abstract | In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to detect the clusters. In recent years a number of algorithms have been proposed to identify this kind of projected clusters, but many of them rely on some critical parameters whose proper values are hard for users to determine. In this paper a new algorithm that dynamically adjusts its internal thresholds is proposed. It has a low dependency on user parameters while allowing users to input some domain knowledge should they be available. Experimental results show that the algorithm is capable of identifying some interesting projected clusters from real microarray data. | en_HK |
dc.format.extent | 327803 bytes | - |
dc.format.extent | 2254 bytes | - |
dc.format.extent | 6619 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE, Computer Society. | en_HK |
dc.relation.ispartof | Proceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004 | en_HK |
dc.rights | ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.title | Identifying projected clusters from gene expression profiles | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Cheung, DW:dcheung@cs.hku.hk | en_HK |
dc.identifier.authority | Cheung, DW=rp00101 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/BIBE.2004.1317352 | en_HK |
dc.identifier.scopus | eid_2-s2.0-4544383734 | en_HK |
dc.identifier.hkuros | 103275 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-4544383734&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 259 | en_HK |
dc.identifier.epage | 266 | en_HK |
dc.identifier.scopusauthorid | Yip, KY=7101909946 | en_HK |
dc.identifier.scopusauthorid | Cheung, DW=34567902600 | en_HK |
dc.identifier.scopusauthorid | Ng, MK=7202076432 | en_HK |
dc.identifier.scopusauthorid | Cheung, KH=7402406608 | en_HK |