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BMC Bioinformatics

, 11:408

Transcriptome analysis

Abstract

BackgroundMeta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limited ability to compare the performance of different meta-analysis methods.

ResultsWe compare eight meta-analysis methods, five existing methods, two naive methods and a novel approach mDEDS. Comparisons are performed using simulated data and two biological case studies with varying degrees of meta-analysis complexity. The performance of meta-analysis methods is assessed via ROC curves and prediction accuracy where applicable.

ConclusionsExisting meta-analysis methods vary in their ability to perform successful meta-analysis. This success is very dependent on the complexity of the data and type of analysis. Our proposed method, mDEDS, performs competitively as a meta-analysis tool even as complexity increases. Because of the varying abilities of compared meta-analysis methods, care should be taken when considering the meta-analysis method used for particular research.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-11-408 contains supplementary material, which is available to authorized users.

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Author: Anna Campain - Yee Hwa Yang

Source: https://link.springer.com/







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