A p53 transcriptional signature in primary and metastatic cancers derived using machine learning

HIGHLIGHTS

• who: . and collaborators from the City University of Hong Kong, Hong Kong SAR, China have published the research work: A p53 transcriptional signature in primary and metastatic cancers derived using machine learning, in the Journal: (JOURNAL) of 20/07/2019
• what: The authors show how a transcriptional signature for loss of p53 function can be detected using ML approaches. The majority of significant genes in the classification found in this work have known links with p53 function.
• how: The authors showed that the model could correctly categorize the samples with synonymous somatic mutations . . .
  

   

  

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