Title :
Bayesian networks classifiers for gene-expression data
Author :
De Campos, Luis M. ; Cano, Andrés ; Castellano, Javier G. ; Moral, Serafín
Author_Institution :
Dept. of Comput. Sci. & Artificial Intell., Granada Univ., Granada, Spain
Abstract :
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.
Keywords :
belief networks; bioinformatics; data analysis; genetics; lab-on-a-chip; pattern classification; Bayesian network classifier; C-RPDAG classifier; gene expression data preprocessing scheme; microarray data; Accuracy; Bayesian methods; DNA; Frequency selective surfaces; Gene expression; Learning systems; Niobium; BAN; Bayesian classifier; Bayesian multinet; Bayesian network; C-RPDAG; DNA microarray; Machine learning; Selective naïve Bayes; TAN; gene expression data; naïve Bayes; supervised classification;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
Print_ISBN :
978-1-4577-1676-8
DOI :
10.1109/ISDA.2011.6121822