Kuruoglu E. E., Salas D., Ruiz D. P.
Microarray gene expressions Alpha-stable distributions
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 2007
@inproceedings{oai:it.cnr:prodotti:91625, title = {Gen mikrodizi ifadeleri ve Kararli Dagilimlar (Microarray gene expression and stable laws)}, author = {Kuruoglu E. E. and Salas D. and Ruiz D. P.}, doi = {10.1109/siu.2007.4298832}, booktitle = {IEEE 15th Signal Processing and Communication Applications Conference, Eskisehir, Turkey, 11-13 June 2007}, year = {2007} }