Detection of association features based on gene eigenvalues and mri imaging using genetic weighted random forest

HIGHLIGHTS

• who: Zhixi Hu and colleagues from the School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou, China School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield , AB, UK have published the research work: Detection of Association Features Based on Gene Eigenvalues and MRI Imaging Using Genetic Weighted Random Forest, in the Journal: Genes 2022, 13, x FOR PEER REVIEW of /2022/
• what: The authors have proposed a novel method to fuse multi-features and a genetic weighted random forest model to identify the important fused features (calculated by the eigenvalues from . . .
  

   

  

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