Predicting chemical carcinogens using a hybrid neural network deep learning method

HIGHLIGHTS

• who: Sarita Limbu and Sivanesan Dakshanamurthy from the Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA have published the Article: Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method, in the Journal: Sensors 2022, 22, 8185. of 13/09/2022
• what: The authors determined the carcinogenicity of thousands of wide-variety classes of reallife exposure chemicals.
• how: The authors developed binary classification multiclass classification and regression models based on diverse non-congeneric chemicals. The authors developed regression models using HNN-Cancer RF support vector regressor (SVR) gradient boosting . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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