A novel sequence-based prediction method for ATP-binding sites using fusion of SMOTE algorithm and random forests classifier

Jiazhi Songa College of Computer Science and Technology, Jilin University, Changchun, Jilin, PR China;b Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, PR China;c College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, PR ChinaView further author information

Guixia Liua College of Computer Science and Technology, Jilin University, Changchun, Jilin, PR China;b Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, PR ChinaCorrespondence[email protected]
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Chuyi Songd College of Mathematics and Physics, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, PR ChinaView further author information

Jingqing Jiangc College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, PR ChinaView further author information

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A novel sequence-based prediction method for ATP-binding sites using fusion of SMOTE algorithm and random forests classifier

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