Some Papers That Use the Bayesian Analysis of Gene Expression Levels

• Ranz JM, Namgyal K, Gibson G, Hartl DL, 2004. Anomalies in the expression profile of interspecific hybrids of Drosophila melanogaster and Drosophila simulans. Genome Research 14: 373-379.
  
  
• Townsend JP, 2004. Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarrays. BMC Bioinformatics 5: 54.
  
  
• Grozinger CM, Sharabash NM, Whitfield CW, Robinson, GE, 2003. Pheromone-mediated gene expression in the honey bee brain. PNAS 100 (suppl 2):14519-14525.
  
  
• Whitfield CW, Cziko A, Robinson, GE, 2003. Gene expression profiles in the brain predict behavior in individual bees. Science 302:296-299.
  
  
• Silverman N, Zhou R, Erlich RL, Hunter M, Bernstein E, Schneider D, Maniatis T, 2003. Immune activation of NF-kappaB and JNK requires Drosophila TAK1. J. Biol. Chem. 278(49):48928-48934.
  
  
• Townsend JP, 2003. Multifactorial experimental design and the transitivity of ratios with spotted DNA microarrays. BMC Genomics 4:41.
  
  
• Ranz JM, Castillo-Davis CI, Meiklejohn CD, Hartl DL, 2003. Sex-dependent gene expression and evolution of the Drosophila transcriptome. Science 300(5626):1742-5.
  
  
• Meiklejohn CD, Parsch J, Ranz JM, Hartl DL, 2003. Rapid evolution of male-biased gene expression in Drosophila. PNAS 100(17):9894-9899.
  
  
• Townsend JP, Cavalieri D, Hartl DL, 2003. Population genetic variation in genome-wide gene expression. Mol. Biol. Evol. 20(6):955-63.
  
  
• Townsend JP, Hartl DL, 2002. Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments. Genome Biol. 3(12):RESEARCH0071.
  

Additions? email Townsend@Nature.Berkeley.edu