PlumX Metrics
Embed PlumX Metrics

Comparison study of microarray meta-analysis methods

BMC Bioinformatics, ISSN: 1471-2105, Vol: 11, Issue: 1, Page: 408
2010
  • 74
    Citations
  • 0
    Usage
  • 197
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

Article Description

Background: Meta-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.Results: We 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.Conclusions: Existing 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. © 2010 Campain and Yang; licensee BioMed Central Ltd.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know