Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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* Corresponding author: Francisco Azuaje fj.azuaje@ulster.ac.uk
1 School of Computing and Mathematics, University of Ulster, UK
2 Department of Ophthalmology, Queen's University of Belfast, UK
BMC Bioinformatics 2006, 7:116 doi:10.1186/1471-2105-7-116
Published: 8 March 2006Additional files
Additional File 1:
the supplementary material
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Additional File 2:
The complete results for the permutation test
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