iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space

作者：

Highlights：

• Computational model is developed for Anti-cancer peptides.

• Three discrete feature extraction methods are used.

• Ensemble feature space is formed.

• Simple majority and GA based majority are used.

• Obtained quite promising results than existing methods.

摘要

•Computational model is developed for Anti-cancer peptides.•Three discrete feature extraction methods are used.•Ensemble feature space is formed.•Simple majority and GA based majority are used.•Obtained quite promising results than existing methods.

论文关键词：Am-PseAAC,Anticancer,SVM,Genetic algorithm,Majority voting

论文评审过程：Received 26 April 2017, Revised 12 June 2017, Accepted 16 June 2017, Available online 17 June 2017, Version of Record 12 August 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.06.008