PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Kuruoglu E. E., Salas-Gonzalez D., Ruiz D. P. Gen mikrodizi ifadeleri ve Kararli Dagilimlar (Microarray gene expression and stable laws). In: IEEE 15th Signal Processing and Communication Applications Conference (Eskisehir, Turchia, 11-13 June 2007). Proceedings, vol. 1 IEEE Turkey Chapter (ed.). Anadolu University, 2007.
 
 
Abstract
(English)
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.
Abstract
(Italiano)
In Turkish: Bu calismanin konusu mikrodizi gen ifadesi verilerinin istatistiksel analizidir. Bu konuda yapilan bircok calismada gen ifadesi verilerinden elde edilen histogramlarin can egrisi seklinde olduklari ama Gauss dagilimindan farkliliklar gosterdikleri gozlemlenmistir. Bu bildiride verilerde gozlemlenen Pareto dagilimlarinin ozelliklerine dikkat cekecek, literatuirden ilgili calismalari ozetleyecek ve modellemek icin Pareto kuyruklu dagilimlarin bir alt ailesi alfa-kararli dagilimlari onerecegiz.
URL: http://siu2007.anadolu.edu.tr/en/index.php
DOI: 10.1109/SIU.2007.4298832
Subject Microarray gene expressions
Alpha-stable distributions
J.3 Life and Medical Sciences. Biology and genetics
G.3 Probability and Statistics. Distribution functions
92D10 Genetics
60E07 Infinitely divisible distributions
Stable distributions


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