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Quantitative studies of aging using statistical mechanics and probabilistic approaches
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Quantitative studies of aging using statistical mechanics and probabilistic approaches
Identifier
ETD_1499
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050501
Language
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(authority = ISO639-2);
(type = code)
eng
Genre
(authority = marcgt)
theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Computational Biology and Molecular Biophysics
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Aging--Genetic aspects
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Developmental biology
Abstract
Aging 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.
PhysicalDescription
Extent
ix, 185 p. : ill.
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Note
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Ph.D.
Note
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Includes bibliographical references
Note
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by Diana David-Rus
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David-Rus
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Diana
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author
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Diana David-Rus
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Lebowitz
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Joel
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chair
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Advisory Committee
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Joel L. Lebowitz
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Driscoll
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Monica
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internal member
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Advisory Committee
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Monica Driscoll
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(type = personal)
NamePart
(type = family)
Ruckenstein
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(type = given)
Andrei
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internal member
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Advisory Committee
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Andrei Ruckenstein
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NamePart
(type = family)
Patterson
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Garth
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outside member
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Advisory Committee
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Garth Patterson
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NamePart
Rutgers University
Role
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degree grantor
Name
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Graduate School - New Brunswick
Role
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school
OriginInfo
DateCreated
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(qualifier = exact)
2009
DateOther
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(type = degree)
2009-01
Place
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xx
Location
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NjNbRU
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Identifier
(type = doi)
doi:10.7282/T3833SBR
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
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Detail
Non-exclusive ETD license
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical
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ETD
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application/pdf
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application/x-tar
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5888000
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Statistical Profile