A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
In this work, we study the application of Bayesian networks classifiers for gene expression data in three ways: first, we made an exhaustive state-of-art of Bayesian classifiers and Bayesian classifiers induced from microarray data. Second, we propose a preprocessing scheme for gene expression data, to induce Bayesian classifiers. Third, we evaluate different Bayesian classifiers for this kind of data, including the C-RPDAG classifier presented by the authors.doi:10.1109/isda.2011.6121822 dblp:conf/isda/CamposCCM11 fatcat:ijh5jeu4tvfe3jwg3oczcincnm