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Network-Based Biomarker Discovery
Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge

dc.contributor.advisorFröhlich, Holger
dc.contributor.authorCun, Yupeng
dc.date.accessioned2020-04-19T21:04:24Z
dc.date.available2020-04-19T21:04:24Z
dc.date.issued16.04.2014
dc.identifier.urihttps://hdl.handle.net/20.500.11811/6071
dc.description.abstractAdvances in genome science and technology offer a deeper understanding of biology while at the same time improving the practice of medicine. The expression profiling of some diseases, such as cancer, allows for identifying marker genes, which could be able to diagnose a disease or predict future disease outcomes. Marker genes (biomarkers) are selected by scoring how well their expression levels can discriminate between different classes of disease or between groups of patients with different clinical outcome (e.g. therapy response, survival time, etc.). A current challenge is to identify new markers that are directly related to the underlying disease mechanism.
dc.language.isoeng
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc004 Informatik
dc.titleNetwork-Based Biomarker Discovery
dc.title.alternativeDevelopment of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge
dc.typeDissertation oder Habilitation
dc.publisher.nameUniversitäts- und Landesbibliothek Bonn
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.identifier.urnhttps://nbn-resolving.org/urn:nbn:de:hbz:5n-35638
ulbbn.pubtypeErstveröffentlichung
ulbbnediss.affiliation.nameRheinische Friedrich-Wilhelms-Universität Bonn
ulbbnediss.affiliation.locationBonn
ulbbnediss.thesis.levelDissertation
ulbbnediss.dissID3563
ulbbnediss.date.accepted31.03.2014
ulbbnediss.instituteMathematisch-Naturwissenschaftliche Fakultät : Fachgruppe Informatik / Institut für Informatik
ulbbnediss.fakultaetMathematisch-Naturwissenschaftliche Fakultät
dc.contributor.coRefereeCremers, Armin B.


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