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Cited by 567

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Significance analysis of time course microarray experiments

Open access
Storey, John D., Xiao, Wenzhong, Leek, Jeffrey T., Tompkins, Ronald G., Davis, Ronald W.·2005·Proceedings of the National Academy of Sciences

Abstract

Characterizing the genome-wide dynamic regulation of gene expression is important and will be of much interest in the future. However, there is currently no established method for identifying differentially expressed genes in a time course study. Here we propose a significance method for analyzing time course microarray studies that can be applied to the typical types of comparisons and sampling schemes. This method is applied to two studies on humans. In one study, genes are identified that show differential expression over time in response to in vivo endotoxin administration. By using our method, 7,409 genes are called significant at a 1% false-discovery rate level, whereas several existing approaches fail to identify any genes. In another study, 417 genes are identified at a 10% false-discovery rate level that show expression changing with age in the kidney cortex. Here it is also shown that as many as 47% of the genes change with age in a manner more complex than simple exponential growth or decay. The methodology proposed here has been implemented in the freely distributed and open-source edge software package.

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Metadata

Authors
Storey, J. D., Xiao, W., Leek, J. T., Tompkins, R. G., & Davis, R. W.
Venue
Proceedings of the National Academy of Sciences
Published
2005-09-02
Volume
102
Issue
36
Pages
12837-12842
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2149566602
Cited by
567
References
3
FWCI
14.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Significance analysis of time course microarray experiments. https://app.cochat.ai/papers/10.1073/pnas.0504609102
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Storey, J. D., Xiao, W., Leek, J. T., Tompkins, R. G., & Davis, R. W. (2005). Significance analysis of time course microarray experiments. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0504609102

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