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Faculty Member

David Tritchler Sc.D Biostatistics 1980

Email Address(es)
Biostatistics Division
Adjunct Professor
SGS Status
Associate Member

Research Interests

  • Analysis of microarray data
  • Statistical genomics
  • Statistical genetics
  • Genetic epidemiology

Representative Publications

  • Tritchler D, Parkhomenko E, Beyene J. Filtering genes for cluster and network analysis. BMC Bioinformatics. 10:193, 2009
  • Parkhomenko E, Tritchler D, Beyene J. Sparse canonical correlation analysis with application to genomic data integration. Statistical Applications in Genetics and Molecular Biology 8: article 1, 2009.
  • Fallah S, Tritchler D, Beyene J. Estimating number of clusters based on a general similarity matrix with application to microarray data. Statistical Applications in Genetics and Molecular Biology 7: article 24, 2008.
  • Beyene J, Tritchler D. Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. Genetic Epidemiology 31 (Suppl 1): S103-S109, 2007.
  • Beyene J, Hu P, Parkhomenko E, Trtichler D. Impact of normalization and filtering on linkage analysis of gene expression data in humans. BMC Proceedings 1(Suppl 1): S150, 2007.
  • Parkomenko E, Tritchler D, Beyene J. Genome-wide sparse canonical correlation of gene expression with genotypes. BMC Proceedings, 1(Suppl 1): S119, 2007.
  • Wolting C, McGlade CJ, Tritchler D. Cluster analysis of protein array results via similarity of Gene Ontology annotation. BMC Bioinformatics
  • Tritchler D, Fallah S, Beyene J. A spectral clustering method for microarray data. Computational Statistics and Data Analysis 49:63-76, 2005