Master Thesis Online
Individuals Profiling: Deciphering the role of epigenetic methylation and gene expression in multiple cancer types
Umutoni, Marie Claire 
Promotor(s) :
Van Steen, Kristel
Date of defense : 9-Sep-2019/10-Sep-2019 • Permalink : http://hdl.handle.net/2268.2/7812
Thesis_Summary_UMUTONI.pdfDetails
| Title : | Individuals Profiling: Deciphering the role of epigenetic methylation and gene expression in multiple cancer types |
| Author : | Umutoni, Marie Claire
|
| Date of defense : | 9-Sep-2019/10-Sep-2019 |
| Advisor(s) : | Van Steen, Kristel
|
| Committee's member(s) : | Louppe, Gilles
Wehenkel, Louis
|
| Language : | English |
| Keywords : | [en] Individuals profiling, gene expression, DNA methylation, gene networks |
| Discipline(s) : | Engineering, computing & technology > Computer science |
| Target public : | Researchers Student |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en sciences informatiques, à finalité spécialisée en "management" |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] With the evolution of technology and the increasing availability of multi-omics cancer datasets, new opportunities are rising for data integration in order to get a better understanding of cancer by developing methods that allow the integration and extraction of data from those large databases.
In this thesis, we analyzed gene expression and DNA methylation data across Pancreatic ductal adenocarcinoma (PDAC) and Lung Adenocarcinoma(LUAD) in order to
understand the role of these two processes in the cancerous behavior of tumor tissues.
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The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.