Open Access Highly Accessed Method

Threshold-free high-power methods for the ontological analysis of genome-wide gene-expression studies

Björn Nilsson1*, Petra Håkansson12, Mikael Johansson2, Sven Nelander3 and Thoas Fioretos1

Author Affiliations

1 Department of Clinical Genetics, Lund University Hospital, SE-221 85 Lund, Sweden

2 Department of Automatic Control, Royal Institute of Technology, SE-100 44 Stockholm, Sweden

3 Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA

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Genome Biology 2007, 8:R74  doi:10.1186/gb-2007-8-5-r74

Published: 8 May 2007

Additional files

Additional data file 1:

A figure representing the complete results of the simulation study.

Format: PDF Size: 1.8MB Download file

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Additional data file 2:

A table listing overall powers.

Format: PDF Size: 34KB Download file

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Additional data file 3:

A table containing the complete data from the method-method agreement assessment study.

Format: PDF Size: 60KB Download file

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Additional data file 4:

A list of additional differential expression studies.

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Additional data file 5:

The raw data used for generating the detection spectra.

Format: TXT Size: 556KB Download file

Open Data