Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China;
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA;
School of Medicine, University of Pennsylvania, Philadelphia, PA, USA;
feature extraction; mass spectrometry; SWT; bivariate shrinkage; SVM; boosting;
机译:基于小波和遗传算法的质谱癌症数据分类
机译:基于小波和遗传算法的质谱癌症数据分类
机译:基于血清质谱分析的卵巢癌分类
机译:基于鲁棒固定小波域的质谱分析的快速癌症分类
机译:基于小波的阵列比较基因组杂交和质谱数据分析。
机译:基于血清质谱分析的卵巢癌分类
机译:基于小波分析和核偏最小二乘算法的质谱数据对前列腺癌的分类