Construction and analysis of a joint diagnosis model of random forest and artificial neural network for obesity

HIGHLIGHTS

  • who: Feng Jiang and Chuyan Wu from the Jiaotong University, China have published the Article: Construction and Analysis of a Joint Diagnosis Model of Random Forest and Artificial Neural Network for Obesity, in the Journal: (JOURNAL)
  • how: The authors compared the relationship between immune cells with Spearman`s correlation analysis.

SUMMARY

    The authors searched the gene_expression comprehensive database (GEO) for differentially expressed genes (DEGs) between obese patients` fat samples and normal fat samples. The authors apply the random forest approach to determine the important genes activated in obesity based on this . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?