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Sources of nonlinearity in cDNA microarray expression measurements

Latha Ramdas, Kevin R Coombes, Keith Baggerly, Lynne Abruzzo, W Edward Highsmith, Tammy Krogmann, Stanley R Hamilton and Wei Zhang*

Genome Biology 2001, 2:research0047-research0047.7 doi:10.1186/gb-2001-2-11-research0047

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Identical probes on different high-density oligonucleotide microarrays can produce different measurements of gene expression

LanMin Zhang, Sean J Yoder, Steven A Enkemann BMC Genomics 2006, 7:153 (15 June 2006)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

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

Jeffrey P Townsend, Daniel L Hartl Genome Biology 2002, 3:research0071-research0071.16 (20 November 2002)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

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.

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Evaluation of differential gene expression during behavioral development in the honeybee using microarrays and northern blots

Robert Kucharski, Ryszard Maleszka Genome Biology 2002, 3:research0007-research0007.9 (14 January 2002)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

DNA arrays have been used to explore the dynamics of gene expression in honeybees during distinct behavioral stages of adult development and during drug-induced behavioral modifications.

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