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

Björn Nilsson¹ , Petra Håkansson¹^,2 , Mikael Johansson² , Sven Nelander³ and Thoas Fioretos¹

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

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

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

author email corresponding author email

Genome Biology 2007, 8:R74doi:10.1186/gb-2007-8-5-r74


Published:	8 May 2007

Subject areas: Bioinformatics, Genome studies

Additional data file 1:

A figure representing the complete results of the simulation study.

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Additional data file 2:

A table listing overall powers.

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Additional data file 3:

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

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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.

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