Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments

摘要

Many methodologies of microarray analysis discard the quantitative results inherent in cDNA microarray comparisons or cannot be flexibly applied to multifactorial experimental design. A quantitative Bayesian framework is presented that can be used to analyze normalized microarray data in which any number of treatments, genotypes, or developmental states are studied using a continuous chain of comparisons.