Research
Measuring gene expression divergence: the distance to keep
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* Corresponding author: Galina Glazko galina_glazko@urmc.rochester.edu
1 Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA
2 Stowers Institute for Medical Research, 1000 E 50th St., Kansas City MO 64110, USA
3 Department of Microbiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, KS 66160, USA
Biology Direct 2010, 5:51 doi:10.1186/1745-6150-5-51
Published: 6 August 2010Additional files
Additional file 1:
Supplementary Figure S1: The distributions of gene expression intensities and MASS p-values for human and rat.
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Additional file 2:
Supplementary Figure S2: Statistics of distribution of GA-based distances with different exponents.
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Additional file 4:
Supplementary Tables S1-S2.
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Additional file 3:
Supplementary Figure S3: Expression profiles of genes with the entropy in the upper quartile of mean entropy values and randomly selected genes.
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