机译:基于蛋白质特征的药物 - 靶靶相互作用的预测使用升压和特征选择技术进行升压
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China;
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China;
School of Political Science and Public Administration University of Electronic Science and Technology of China Chengdu 611731 China;
College of Computer Science Sichuan University Chengdu 610065 China;
School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China;
Department of Internal Medicine Rangpur Medical College Rangpur 5400 Bangladesh;
Drug-target interaction; Feature extraction; Molecular substructure fingerprint; Data imbalance; Feature selection; XGBoost classifier;
机译:基于蛋白质特征的药物 - 靶靶相互作用的预测使用升压和特征选择技术进行升压
机译:CFSBoost:累积特征子空间促进药物目标交互预测
机译:基于多尺度离散小波变换和网络特征的药物靶相互作用的改善预测
机译:使用Boosting算法处理缺失特征以进行蛋白质-蛋白质相互作用预测
机译:类专用SVM的增强特征选择及其在胎儿健康预测中的应用
机译:HMMPred:基于HMM轮廓和XGBoost特征选择的DNA结合蛋白的准确预测
机译:使用统计和基于内核的特征选择技术提高阿尔茨海默病的诊断准确性