TitleQuantitative studies of aging using statistical mechanics and probabilistic approaches
NameDavid-Rus, Diana (author), Lebowitz, Joel (chair), Driscoll, Monica (internal member), Ruckenstein, Andrei (internal member), Patterson, Garth (outside member), Rutgers University, Graduate School - New Brunswick,
SubjectComputational Biology and Molecular Biophysics,
DescriptionAging biology finds itself in a post-genomic era. Hopes of bringing methods developed in mathematics, physics or statistics into the biology realm are widespread. The goal and unifying theme of my thesis is to get a better understanding of this new and exiting field (and at the same time ancient subject) of aging as a complex process, using quantitative methods. By combining molecular and biophysical modeling with statistical and mathematical tools, my goal was to provide a multi-scale view of the complex biological process that is aging. The approach I am taking involves consideration of the problem on several levels--from transcriptional regulation of gene expression, modeling of biological pathways and interaction networks, to the development of mathematical and statistical methods; from trying to understand the aging process at a transcriptional level, and analyzing and understanding how stochastic factors might come to play a role in aging in understanding aging as an epigenetic process.
NoteIncludes bibliographical references
Noteby Diana David-Rus
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
RightsThe author owns the copyright to this work.