Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

HIGHLIGHTS

• who: Zixuan Wang from the Division of Medical, The University of Tokyo, Tokyo, u20118639, Japan have published the Article: Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data, in the Journal: (JOURNAL)
• what: It may affect the validity of the Thus there is a pressing demand of techniques able to select genes relevant to Results: This study proposed a novel feature (gene) method Iso-GA for Iso-GA hybrids the learning Isomap in the (GA) to account for the latent nonlinear structure of the expression in the To solve the . . .
  

   

  

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