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Though genome-wide technologies, such as microarrays, are widely used, data from these methods are considered noisy; there is still varied success in downstream biological validation. We report a method that increases the likelihood of successfully validating microarray findings using real time RT-PCR, including genes at low expression levels and with small differences. We use a Bayesian network to identify the most relevant sources of noise based on the successes and failures in validation fordoi:10.1016/j.jbi.2008.08.009 pmid:18790084 pmcid:PMC3962641 fatcat:hzud4lzapza7rpcrznsf7eqvni