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. 2011 May;7(5):e1002053.
doi: 10.1371/journal.pcbi.1002053. Epub 2011 May 26.

Pathway analysis of expression data: deciphering functional building blocks of complex diseases

Frank Emmert-Streib  1 , Galina V Glazko
Affiliations

Pathway analysis of expression data: deciphering functional building blocks of complex diseases

Frank Emmert-Streib et al. PLoS Comput Biol. 2011 May.
No abstract available

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. An overview of motivations and strategies, underlying statistical hypotheses and corresponding tests for pathway-analysis.
See this image and copyright information in PMC

References

    1. Glazko G, Emmert-Streib F. Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets. Bioinformatics. 2009;25:2348–2354. - PMC - PubMed
    1. Callow M, Dudoit S, Gong E, Speed T, Rubin E. Microarray expression profiling identifies genes with altered expression in hdl-deficient mice. Genome Res. 2000;10:2022–2029. - PMC - PubMed
    1. Dudoit S, Shaffer J, Boldrick J. Multiple hypothesis testing in microarray experiments. Statistical Science. 2003;18:71–103.
    1. Tusher V, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A. 2001;98:5116–5121. - PMC - PubMed
    1. Emmert-Streib F, Dehmer M, editors. Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell; 2010.

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