A deep learning and genetic algorithm based feature selection processes on leukemia data

HIGHLIGHTS

• who: Rita Francese and colleagues from the University of Salerno Italy have published the research: A Deep Learning and Genetic Algorithm Based Feature Selection Processes on Leukemia Data, in the Journal: (JOURNAL)
• what: The analysis exploits feature selection techniques aimed at reducing the consistent number of variables (genes). The reduction in the number of variables (feature selection) is carried out taking into account bioinformatics data extracted from microarray experiments, aimed at classifying genes based on their differential expression between ALL and AML biological states. The analysis is performed according to the standard protocol provided by . . .
  

   

  

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