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Probalistic Methods In Genomic Data Analysis

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Author

Summary, in English

In this thesis, three aspects of gene expression data analysis are discussed: Differential gene expression is addressed by a probabilistic method. Gene annotation enrichment analysis is discussed in the context of multiple hypothesis testing and the choice of null hypothesis. The possibility of inferring the activity of cellular signaling pathways from microarray data is explored. The methods developed are applied to various data sets. The method for differential gene expression is applied to aspects of B cell differentiation. The methods for annotation analysis and pathway activity inference are applied to data sets of breast cancer, colon cancer and leukemia.

Publishing year

2004

Language

English

Document type

Dissertation

Publisher

Department of Theoretical Physics, Lund University

Topic

  • Biophysics

Keywords

  • pathway profiling
  • Bioinformatics
  • medical informatics
  • biomathematics biometrics
  • Bioinformatik
  • medicinsk informatik
  • differential gene expression
  • probabilistic methods
  • Natural science
  • Naturvetenskap
  • biomatematik
  • annotation analysis
  • microarray
  • Fysicumarkivet A:2004:Breslin

Status

Published

ISBN/ISSN/Other

  • ISBN: 91-628-6336-3

Defence date

17 December 2004

Defence time

10:30

Defence place

LECTURE HALL F OF THE DEPARTMENT OF THEORETICAL PHYSICS

Opponent

  • Steen Knudsen (Professor)