Key issues in conducting a meta-analysis of gene expression microarray datasets - PubMed (original) (raw)

Review

Key issues in conducting a meta-analysis of gene expression microarray datasets

Adaikalavan Ramasamy et al. PLoS Med. 2008.

Abstract

Adaikalavan Ramasamy and colleagues outline seven key issues and suggest a stepwise approach in conducting a meta-analysis of microarray datasets.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1

Figure 1. The Flow from Data to Information to Biological Knowledge in Gene Expression Microarray Research

The image files are obtained from optical scanning of hybridized samples.

Figure 2

Figure 2. Data Acquisition to Summarize Steps 3–10 in Table 3

In total, 21 studies (6 + 3 + 8 + 4) are included in the meta-analysis. The characteristics of the included studies are given in Table 4.

Figure 3

Figure 3. A Summary Plot of the Pooled Effect Size (Black Dots) and Its 95% Confidence Interval (Gray Bars) Sorted by the FDR

The GenBank identifier (if available) for the top five most statistically significant up-regulated and down-regulated genes is shown.

Figure 4

Figure 4. Forest Plot of the Most Statistically Significant Up-Regulated and Down-Regulated Genes Identified from the Meta-Analysis

References

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