File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastoma

TitleA gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastoma
Authors
Chen, PHung, YSMan, TKLau, CCFan, YWong, STC
KeywordsCopy number aberration (CNA)
Medulloblastoma
Cancer subtypes
Driver identification
Cancer genome
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800307
Citation
The IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2012), Las Vegas, NV., 23-25 February 2012. In Proceedings of the 2nd IEEE ICCABS, 2012, p. 1-6 How to Cite?
DOI: http://dx.doi.org/10.1109/ICCABS.2012.6182629
AbstractCopy number aberrations (CNAs) are frequently found in cancer genomes and believed to be tumorigenic. Unfortunately, CNAs often occur in wide regions of the cancer genome that harbor a large number of genes, making it a challenge to identify the candidate cancer drivers. Further, subtypes of cancer may be characterized with distinct CNA patterns and hence have different drivers. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158787
ISBN
9781467313216
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChen, Pen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorMan, TKen_US
dc.contributor.authorLau, CCen_US
dc.contributor.authorFan, Yen_US
dc.contributor.authorWong, STCen_US
dc.date.accessioned2012-08-08T09:01:19Z-
dc.date.available2012-08-08T09:01:19Z-
dc.date.issued2012en_US
dc.identifier.citationThe IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2012), Las Vegas, NV., 23-25 February 2012. In Proceedings of the 2nd IEEE ICCABS, 2012, p. 1-6en_US
dc.identifier.isbn9781467313216-
dc.identifier.urihttp://hdl.handle.net/10722/158787-
dc.description.abstractCopy number aberrations (CNAs) are frequently found in cancer genomes and believed to be tumorigenic. Unfortunately, CNAs often occur in wide regions of the cancer genome that harbor a large number of genes, making it a challenge to identify the candidate cancer drivers. Further, subtypes of cancer may be characterized with distinct CNA patterns and hence have different drivers. © 2012 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800307-
dc.relation.ispartofIEEE International Conference on Computational Advances in Bio and Medical Sciences Proceedingsen_US
dc.subjectCopy number aberration (CNA)en_US
dc.subjectMedulloblastomaen_US
dc.subjectCancer subtypesen_US
dc.subjectDriver identificationen_US
dc.subjectCancer genome-
dc.titleA gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastomaen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, P: pkchen@eee.hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hk-
dc.identifier.emailMan, TK: ctman@txccc.org-
dc.identifier.emailLau, CC: cclau@txccc.org-
dc.identifier.emailFan, Y: yfan@tmhs.org-
dc.identifier.emailWong, STC: stwong@tmhs.org-
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICCABS.2012.6182629en_US
dc.identifier.scopuseid_2-s2.0-84860516668en_US
dc.identifier.hkuros206398-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84860516668&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.description.otherThe IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2012), Las Vegas, NV., 23-25 February 2012. In Proceedings of the 2nd IEEE ICCABS, 2012, p. 1-6-
dc.identifier.scopusauthoridWong, STC=24726534400en_US
dc.identifier.scopusauthoridFan, Y=35487393700en_US
dc.identifier.scopusauthoridLau, CC=7401968381en_US
dc.identifier.scopusauthoridMan, TK=7003401010en_US
dc.identifier.scopusauthoridHung, YS=8091656200en_US
dc.identifier.scopusauthoridChen, P=36616885900en_US

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats