Methodology article
Comparative evaluation of gene-set analysis methods
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* Corresponding author: Yutaka Yasui yyasui@ualberta.ca
- † Equal contributors
1 School of Public Health, University of Alberta, Edmonton, Alberta, T6G2G3, Canada
2 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, USA
BMC Bioinformatics 2007, 8:431 doi:10.1186/1471-2105-8-431
Published: 7 November 2007Additional files
Additional file 1:
The analysis results of the two real-world microarray datasets (gender and leukemia) by the three methods. These three methods were applied and compared on two real-world microarray datasets: the male vs. female lymphoblastoid cell microarray dataset and the ALL- and AML-cell microarray dataset.
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Additional file 2:
FDR values for the 17 gene sets listed in Table 2. FDR values of the 17 gene sets listed in Table 2 are presented.
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Additional file 3:
P-values and FDR values for the three "self-contained null hypothesis" and three "competitive null hypothesis" approaches. The three "self-contained null hypothesis" and three "competitive null hypothesis" approaches were applied to the p53 dataset. The p-values and FDR values for the 17 gene sets listed in Table 2 are presented.
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