机译:粒子群优化算法在癌症分类中选择基因
Department of Computer Science and Intelligent Systems. Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan Department of Software Engineering, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310 Skudai, Johore, Malaysia;
Department of Computer Science and Intelligent Systems. Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan;
Department of Software Engineering, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310 Skudai, Johore, Malaysia;
Department of Computer Science and Intelligent Systems. Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan;
gene selection; hybrid approach; microarray data; particle swarm optimization;
机译:用于癌症分类的基因选择的二进制粒子群优化算法的增强
机译:遗传算法,粒子群算法和基于生物地理学的特征选择对微钙化聚类进行分类的比较
机译:基于粒子群算法的带宽确定和基于核密度估计的分类器特征选择在乳腺癌诊断中的应用
机译:用于分类癌症类别的基因选择的改进二进制粒子群算法。
机译:生物信息学中粒子群优化特征子集选择的稳定性和可扩展性
机译:用于癌症分类的基因选择的二进制粒子群优化算法的增强
机译:用于癌症分类的基因选择的二进制粒子群优化算法的增强