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Classification and multiple testing for microarray data

Descriptive

TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Classification and multiple testing for microarray data
Identifier
ETD_2780
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056278
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Statistics and Biostatistics
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
DNA microarrays--Testing
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Statistical hypothesis testing
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Discriminant analysis
Abstract (type = abstract)
This thesis aims to provide a solution to the classification and hypothesis testing problems as well as to create a tool to perform clustering, hypothesis testing or classification tasks automatically via simple menu-driven interface. Since the first appearance of microarrays in 1995, they became a technique for large gene expression screening worldwide. The quantity of data generated from microarray experiments is enormous, requiring new careful methods of analysis of these high-dimensional data. One of the problems encountered when dealing with this type of data is overfitting. Overfitting happens when information selected is related to the condition of interest only by chance. This thesis consists of four major parts. The first part contains the overview of microarray methodology and current techniques applied to analyze gene expression data. The second part uses partial least squares themed idea to develop the algorithm where one can control the FDR (false discovery rate) to extract differentially expressed genes in the analysis of gene expression data. The above procedure can be either used separately or as a part of the scheme where it provides weights that can be used together with another selection method or as a part of ensemble. The third part of the thesis deals with the problem of comparing several treatments to the control. In the setting where one wants to find a ‘bump’ in measurements of several groups, the test statistic is considered that is based on maximum and minimum of the group mean differences. Then the derived distribution of a proposed test statistic can be used to make inferences. The fourth part describes the software developed to provide a menu-driven computing environment for data manipulation and analysis. It includes different methods that can be used to compare expression profiles of genes and methods for gene clustering and various visualization and exploration.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
xii, 116 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Yauheniya Cherkas
Name (ID = NAME-1); (type = personal)
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Cherkas
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Yauheniya
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author
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Yauheniya Cherkas
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Cabrera
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Javier
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chair
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Advisory Committee
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Javier Cabrera
Name (ID = NAME-3); (type = personal)
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Strawderman
NamePart (type = given)
William
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internal member
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Advisory Committee
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William Strawderman
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Tyler
NamePart (type = given)
David
Role
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internal member
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Advisory Committee
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David Tyler
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Amaratunga
NamePart (type = given)
Dhammika
Role
RoleTerm (authority = RULIB)
outside member
Affiliation
Advisory Committee
DisplayForm
Dhammika Amaratunga
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
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
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3V987V3
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Cherkas
GivenName
Yauheniya
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-07-13 22:07:14
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Yauheniya Cherkas
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
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.
RightsEvent (ID = RE-2); (AUTHORITY = rulib)
Type
Embargo
DateTime
2010-10-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2012.
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Technical

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ETD
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application/pdf
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application/x-tar
FileSize (UNIT = bytes)
1495040
Checksum (METHOD = SHA1)
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