Methodology article
Detecting multivariate differentially expressed genes
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* Corresponding author: Roland Nilsson rolle@ifm.liu.se
1 Computational Biology, Department of Physics, Linköping University, SE-581 53 Linköping, Sweden
2 Unit of Computational Medicine, King Gustaf V Research Institute, Department of Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden
BMC Bioinformatics 2007, 8:150 doi:10.1186/1471-2105-8-150
Published: 9 May 2007Additional files
Additional File 1:
Supplementary information. This supplement contains details on the PCWT class, proofs for theorems and an additional simulation study.
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Additional File 2:
Supplementary figure 1. Describes the second simulation study.
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Additional File 3:
Supplementary figure 2. Contains the pseudocode for the RIT algorithm with p-value corrections. Software availability. The RIT algorithm is available as a Mathematica notebook upon request.
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