Effectively predicting hiv-1 protease cleavage sites by using an ensemble learning approach

HIGHLIGHTS

• who: Lun Hu from the Xinjiang Technical Institute u00dcru00fcmqi, China University of Technology have published the Article: Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach, in the Journal: (JOURNAL)
• what: The authors propose an ensemble learning model, namely EM-HIV, which target to integrate asymmetric bagging with biased SVM classifiers to reduce the impact of imbalance and false-negative instances on the prediction model. To address these problems, the authors propose a novel ensemble learning model, namely EM-HIV.
• how: In this work three different kinds of characteristics . . .
  

   

  

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