Using machine learning to identify gene interaction networks associated with breast cancer

HIGHLIGHTS

• who: Liyuan Liu from the Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China have published the research work: Using machine learning to identify gene interaction networks associated with breast cancer, in the Journal: (JOURNAL)
• what: This study collected data from a face-to-face interview and, clinical breast and imaging examinations.
• how: All genes available in the TCGA dataset were analyzed to detect differences between tumor and normal samples and 10 common genes in Fig 1 were screened out from the results. The results showed that . . .
  

   

  

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

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

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