Network-Based Biomarker DiscoveryDevelopment of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge
Network-Based Biomarker Discovery
Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge
View/Type of Scholarly Publication
DissertationDate of Exam
31.03.2014Date of Publication
16.04.2014Advisor
Fröhlich, HolgerCo-Referee
Cremers, Armin B.Metadata
Show full item record
Citable Links 
Abstract
Advances 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.
Classification (DDC)
004 InformatikCun, Yupeng: Network-Based Biomarker Discovery : Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge. - Bonn, 2014. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-35638
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-35638
@phdthesis{handle:20.500.11811/6071,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-35638,
author = {{Yupeng Cun}},
title = {Network-Based Biomarker Discovery : Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2014,
month = apr,
note = {Advances 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.},
url = {https://hdl.handle.net/20.500.11811/6071}
}
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-35638,
author = {{Yupeng Cun}},
title = {Network-Based Biomarker Discovery : Development of Prognostic Biomarkers for Personalized Medicine by Integrating Data and Prior Knowledge},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2014,
month = apr,
note = {Advances 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.},
url = {https://hdl.handle.net/20.500.11811/6071}
}
The following license files are associated with this item:
