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Bayesian integrated modeling of expression data: a case study on RhoG
2010
BMC Bioinformatics
DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. This has to be balanced against that analyzing data emerging from microarrays involves several consecutive steps, and each of them is a potential source of errors. Errors tend to accumulate when moving from the lower level towards the higher level analyses because of the sequential nature. Eliminating such errors does not seem
doi:10.1186/1471-2105-11-295
pmid:20515463
pmcid:PMC2894040
fatcat:3sjoywa42vexfjpvr2ca4hhuku