The Resource Bayesian analysis of fMRI data and RNA-seq time course experiment data, by Yuan Cheng

Bayesian analysis of fMRI data and RNA-seq time course experiment data, by Yuan Cheng

Label
Bayesian analysis of fMRI data and RNA-seq time course experiment data
Title
Bayesian analysis of fMRI data and RNA-seq time course experiment data
Statement of responsibility
by Yuan Cheng
Title variation
Bayesian analysis of functional magnetic resonance imaging data and RNA-seq time course experiment data
Creator
Contributor
Author
Thesis advisor
Subject
Genre
Language
eng
Summary
The present dissertation contains two parts. In the first part, we develop a new Bayesian analysis of functional MRI data. We propose a novel triple gamma Hemodynamic Response Function (HRF) including the component to describe the initial dip. We use HRF to inform voxel-wise neuronal activities. Then we devise a new model selection procedure with a nonlocal pMOM prior for joint detection of neuronal activation and estimation of HRF, in order to time the activation time difference between visual and motor areas in the brain. In the second part, we develop a new Bayesian analysis of RNA-Seq Time Course experiments data. We propose to use Bayesian Principal Component regression model and based on that, devise a model selection procedure by using nonlocal piMOM prior in order to identify differentially expressed genes. Most current existing methods for RNA-Seq Time Course experiments data are from static view of point and cannot predict temporal patterns. Our method estimate the posterior differentially expressed probability for each gene by borrowing information across all subjects. Use of nonlocal prior in the model selection procedure reduces false discovered differentially expressed genes
Cataloging source
MUU
http://library.link/vocab/creatorDate
1985-
http://library.link/vocab/creatorName
Cheng, Yuan
Degree
Ph. D.
Dissertation note
Thesis
Dissertation year
2015.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorDate
1969-
http://library.link/vocab/relatedWorkOrContributorName
Ferreira, Marco Antonio Rosa
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Magnetic resonance imaging
  • Nucleotide sequence
  • RNA
Label
Bayesian analysis of fMRI data and RNA-seq time course experiment data, by Yuan Cheng
Instantiates
Publication
Note
  • "A Dissertation presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy."
  • Advisor: Marco A. R. Ferreira
  • Includes vita
Bibliography note
Includes bibliographical references (pages 141-149)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
970665670
Extent
1 online resource (xiii, 150 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (some color)
Specific material designation
remote
System control number
(OCoLC)970665670
Label
Bayesian analysis of fMRI data and RNA-seq time course experiment data, by Yuan Cheng
Publication
Note
  • "A Dissertation presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy."
  • Advisor: Marco A. R. Ferreira
  • Includes vita
Bibliography note
Includes bibliographical references (pages 141-149)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
970665670
Extent
1 online resource (xiii, 150 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (some color)
Specific material designation
remote
System control number
(OCoLC)970665670

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