Gen mikrodizi ifadeleri ve Kararli Dagilimlar (Microarray gene expression and stable laws)
Kuruoglu E. E., Salas D., Ruiz D. P.
Microarray gene expressions
In this work, we 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 distributions.
Source: IEEE 15th Signal Processing and Communication Applications Conference, Eskisehir, Turkey, 11-13 June 2007Back to previous page