Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients

HIGHLIGHTS

  • who: Jian Chen from the United States Heidelberg University Hospital have published the Article: Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients, in the Journal: (JOURNAL)
  • what: Before building the model, the Spearman rank correlation test was used for feature selection. Model construction Before building the model, the authors identified 62 immunological genes in the training set that were strongly associated with pCR by the Spearman rank correlation test (P and amp;lt; 0.001, Figure S3A). It may indicate that there may be some . . .

     

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