Acute Leukemia Classification using Bayesian Networks

Faculty Computer Science Year: 2012
Type of Publication: ZU Hosted Pages: 1419-1426
Authors:
Abdelnaser Hessien Reyad Zaied
Journal: International Journal of Emerging Trends in Computing and Information Sciences International Journal of Emerging Trends in Computing and Information Sciences Volume: Vol. 3 No. 10
Keywords : Acute Leukemia Classification using Bayesian Networks    
Abstract:
In this study, two models for constructing acute leukemia classifiers using the Signal-to-Noise Ratio (SNR) gene selection method in conjunction with the Bayesian Networks (BNs) have been proposed. In the first model, genes of the acute leu
    
     
 
       

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