Benchmark study of feature selection strategies for multi-omics data

HIGHLIGHTS

• who: Yingxia Li from the Institute for Medical Information and Epidemiology, Munich, Germany have published the research: Benchmark study of feature selection strategies for multi-omics data, in the Journal: (JOURNAL)
• what: The authors aim to fill this gap for multi-omics data by providing a large-scale benchmark experiment comparing different feature selection methods and strategies.
• how: For the rank methods the authors considered the feature selection times resulting when setting nvar=5000. Had the authors conducted the study with four six or eight datasets (as is common in the literature) the . . .
  

   

  

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