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Review
. 2008 Sep 30;5(9):e184.
doi: 10.1371/journal.pmed.0050184. Epub 2008 Sep 2.

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

Adaikalavan Ramasamy  1 , Adrian Mondry, Chris C Holmes, Douglas G Altman
Affiliations
Review

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

Adaikalavan Ramasamy et al. PLoS Med. .

Abstract

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

PubMed Disclaimer

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
See this image and copyright information in PMC

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