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Statistical methods for gene selection using differential gene expression and building gene co-expression networks

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Statistical methods for gene selection using differential gene expression and building gene co-expression networks
SubTitle
PartName
PartNumber
NonSort
Identifier (displayLabel = ); (invalid = )
ETD_2149
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051870
Language (objectPart = )
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Statistics
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Genetic regulation--Mathematical models
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Gene expression--Mathematical models
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Stochastic approximation
Abstract
This thesis investigates three most challenging statistical problems that relate to three important stages of the pipeline of DNA microarray data analysis which are identification of differentially expressed genes, determination of sample size based on specified power, desired fold change and given error rate, and construction of gene co-expression network. At the center of these methods is a new version of the Stochastic Approximation methodology that works for distribution functions. The method is applied to estimation problems in the conditional-t procedure
(Amaratunga and Cabrera (2003)) and in the estimation of the covariance matrix. The new covariance estimates are applied to the estimation of gene co-expression network (Zhang and Hovarth(2005)). In both cases the new method results in substantial improvement in performance. This is shown in several simulations that are presented throughout the thesis. In addition we show examples from real applications to illustrate the main results.
PhysicalDescription
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electronic resource
Extent
xii, 88 p. : ill.
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application/pdf
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Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 83-87)
Note (type = statement of responsibility)
by Zhaoyu Luo
Name (ID = NAME-1); (type = personal)
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Luo
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Zhaoyu
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1982-
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author
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Zhaoyu Luo
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Cabrera
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Javier
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chair
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Advisory Committee
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Javier Cabrera
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Tyler
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David
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internal member
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Advisory Committee
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David Tyler
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Strawderman
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William
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internal member
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Advisory Committee
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William Edward Strawderman
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Amaratunga
NamePart (type = given)
Dhammika
Role
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outside member
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Advisory Committee
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Dhammika Amaratunga
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NamePart
Rutgers University
Role
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degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
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school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2009
DateOther (qualifier = exact); (type = degree)
2009-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3FT8M6K
Genre (authority = ExL-Esploro)
ETD doctoral
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RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work
Copyright
Status
Copyright protected
Notice
Note
Availability
Status
Open
Reason
Permission or license
Note
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Name
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Luo
GivenName
Zhaoyu
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Copyright holder
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Place
DateTime
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Name
Zhaoyu Luo
Affiliation
Rutgers University. Graduate School - New Brunswick
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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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1013760
Checksum (METHOD = SHA1)
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