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PubMed · 15003121

Exploratory differential gene expression analysis in microarray experiments with no or limited replication.

Alexander V Loguinov·I Saira Mian·Chris D Vulpe
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Abstract

We describe an exploratory, data-oriented approach for identifying candidates for differential gene expression in cDNA microarray experiments in terms of alpha-outliers and outlier regions, using simultaneous tolerance intervals relative to the line of equivalence (Cy5 = Cy3). We demonstrate the improved performance of our approach over existing single-slide methods using public datasets and simulation studies.

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Analysis of VarianceComputer SimulationDNA ReplicationDNA, ComplementaryDNA, FungalData Interpretation, StatisticalGene Expression ProfilingGene Expression Regulation, FungalModels, BiologicalNuclear ProteinsOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsComparative StudyJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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Alexander V Loguinov, I Saira Mian, Chris D Vulpe. 2004-03-01. Exploratory differential gene expression analysis in microarray experiments with no or limited replication.. https://doi.org/10.1186/gb-2004-5-3-r18

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