Format

Send to

Choose Destination
See comment in PubMed Commons below
BMC Proc. 2009 Mar 10;3 Suppl 2:S4.

Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation.

Author information

1
National Center for Toxicological Research (NCTR), US Food and Drug Administration, 3900 NCTR Rd, Jefferson, AR 72079, USA. fanxh@zju.edu.cn

Abstract

Recent publications have raised concerns about the reliability of microarray technology because of the lack of reproducibility of differentially expressed genes (DEGs) from highly similar studies across laboratories and platforms. The rat toxicogenomics study of the MicroArray Quality Control (MAQC) project empirically revealed that the DEGs selected using a fold change (FC)-based criterion were more reproducible than those derived solely by statistical significance such as P-value from a simple t-tests. In this study, we generate a set of simulated microarray datasets to compare gene selection/ranking rules, including P-value, FC and their combinations, using the percentage of overlapping genes between DEGs from two similar simulated datasets as the measure of reproducibility. The results are supportive of the MAQC's conclusion on that DEG lists are more reproducible across laboratories and platforms when FC-based ranking coupled with a nonstringent P-value cutoff is used for gene selection compared with selection based on P-value based ranking method. We conclude that the MAQC recommendation should be considered when reproducibility is an important study objective.

PMID:
19278560
PMCID:
PMC2654487
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for PubMed Central
    Loading ...
    Support Center