- A SURVEY OF AVAILABLE COMPUTATIONAL TOOLS FOR META-ANALYSIS OF MICROARRAY EXPRESSION STUDIES
- Meta-analysis of genome-wide expression data generated by microarray experiments has been used as a novel approach to discover the transcriptional alterations underlying complex biological phenotypes. This methodological approach represents a potential strategy to find consistent gene expression signatures in larger datasets and to find possible causes of heterogeneity. A comparison of the existing programs designed for implementation of this type of meta-analyses of high-throughput data is lacking. In this work, we review the features of eight freely available computational tools for meta-analysis of microarray data: GeneMeta, MAID, metaArray, metaGEM, metahdep, metaMA, RankAggreg and RankProd. All of these tools are packages for the R/Bioconductor environment and are based on different, and potentially complementary, algorithms. This survey will be useful for researchers interested in the implementation of meta-analyses of microarray data and for the development of future additional computational tools.
- Diego Forero, MD, PhD(c)
To be submitted to Briefings in Bioinformatics