USING ASYMMETRIC DISTRIBUTIONS FOR MODELING GENE EXPRESSION DATA

Main Article Content

Walkiria Maria de Oliveira MACERAU
http://orcid.org/0000-0001-6466-7865
Luis Aparecido MILAN
http://orcid.org/0000-0002-1075-9809

Abstract

We present a short review of the asymmetric distributions alpha-stable, skew normal, skew Student’s t and skew Laplace. We compare the performance for these distributions, in general, are used to model asymmetric data, using AIC and BIC. These criterias were able to selecting the best model for each data set. We also apply these models to gene expression data and we verify these distributions are qualified to model these  observations.

Article Details

How to Cite
MACERAU, W. M. de O., & MILAN, L. A. (2021). USING ASYMMETRIC DISTRIBUTIONS FOR MODELING GENE EXPRESSION DATA. Brazilian Journal of Biometrics, 39(2), 266–278. https://doi.org/10.28951/rbb.v39i2.466
Section
Articles