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Likelihood-free methods for tumor progression modeling

Herold, Daniela (2014) Likelihood-free methods for tumor progression modeling. PhD, Universität Regensburg.

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Date of publication of this fulltext: 16 Oct 2014 11:48

Abstract (English)

Since it became clear that the number of newly diagnosed cancer cases and the number of deaths from cancer worldwide increases from year to year, a great effort has been put into the field of cancer research. One major point of interest is how and by means of which intermediate steps the development of cancer from an initially benign mass of cells into a large malignant and deadly tumor takes ...

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Translation of the abstract (German)

Seitdem man weiß dass die Zahl der neu diagnostizierten Krebsfälle und die Zahl der Krebstode weltweit von Jahr zu Jahr steigt, wurde ein enormer Aufwand in den Bereich der Krebsforschung gesteckt. Ein Hauptinteressenspunkt ist wie und durch welche Zwischenschritte die Entwicklung von Krebs aus einer anfangs gutartigen Zellmasse in einen großen bösartigen und tödlichen Tumor abläuft. Um die ...

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Item type:Thesis of the University of Regensburg (PhD)
Date:16 October 2014
Referee:Prof. Dr. Elmar Lang
Date of exam:25 September 2014
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Keywords:tumor development, tumor progression modeling, cancer research, likelihood-free methods
Dewey Decimal Classification:500 Science > 530 Physics
500 Science > 570 Life sciences
600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:30853
Owner only: item control page

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