Non-Gaussian Distributions Affect Identification of Expression Patterns Functional Annotation and Prospective Classification in Human Cancer Genomes

摘要

IntroductionGene expression data is often assumed to be normally-distributed, but this assumption has not been tested rigorously. We investigate the distribution of expression data in human cancer genomes and study the implications of deviations from the normal distribution for translational molecular oncology research.