Microarray Gene Expression and Stable Laws

@article{Kuruoglu2007MicroarrayGE,
  title={Microarray Gene Expression and Stable Laws},
  author={Ercan Engin Kuruoglu and Diego Salas and Diego P. Ruiz},
  journal={2007 IEEE 15th Signal Processing and Communications Applications},
  year={2007},
  pages={1-4}
}
In this work, the authors study the statistical distribution of microarray gene expression data. In particular, we give a brief review of literature pointing to the non-Gaussian features of gene expression data in the form of impulsiveness and asymmetry. We note that several previous publication note the Pareto tail behaviour in the data. We present a new model, namely the stable distribution to describe the observed statistical features of the data which is a subfamily of Pareto-tail… CONTINUE READING

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