About 31 item dissertation in line with Microarray data query results,the following is 1 to 50(Search took 0.066 seconds)
- Applications of Machine Learning Approaches to Biological Sequence Analysis,SongJia/Zhejiang University,0/33
- Applying K-means with PCA to Identifygenes Associated with Alzheimer’s Disease,ZhangDanXia/Sichuan Normal University,0/12
- The Improvement in the Method of Multi-platform Microarray Data Integration,ZhangYuan/Hunan University,0/6
- Research on Learning Algorithm of Neural Network Optimized with PSO and Its Application,TuJuanJuan/Jiangsu University,0/562
- The Classification Method of DNA Microarray Data Based on Evolvable Hardware,ChenWen/Chongqing University of Posts and Telecommunications,0/31
- CePa:a New Method to Identify Significant Gene Sets and the Construction of Online Data Analysis Platform,CaoKunMing/Nanjing University,0/28
- Research on Gene Expression Data Analysis Method and Its Application,WuJiaZuo/Jilin University,0/467
- Several Statistical Issues in the Analysis of High-dimensional Biological Data,ZuoPengCheng/Nanjing Medical University,1/236
- Microarray Data Analysis and Applications in Breast Cancer Data Analysis,LvXueSong/Tsinghua University,1/619
- The Application of Multiple Classifier Systems in the Analysis of Gene Microarray Datasets,LiuKunHong/University of Science and Technology of China,6/468
- Application Study of Gene Expression Data on Diagnosis of Tumor and Prediction of Gene Function,HuangDeSheng/China Medical University,0/250
- The Application of Feature Extraction and Classification Algorithm in Predict Membrane Protein Classification Problem,WangLiPeng/Lanzhou University of Technology,0/133
- Several Studies of Models and Methods in Biostatistics,FangYun/East China Normal University,0/133
- Research on Application of Machine Learning and Data Mining in Bioinformatics,DuWei/Jilin University,0/381
- Study on Statistical Methods for Differential Gene Expression Detection Based on Sample Subsets,JiZhaoHua/Jilin University,1/210
- Research on Multi-Objective Evolutionary Computation for Biclustering in Microarray Gene Expression Data,LiuJunWan/National University of Defense Science and Technology,0/215
- Study on Statistical Methods for Differential Gene Expression Detection Based on Sample Subsets,WangYao/Jilin University,0/25
- Study on Mechanism of Cold-and Hot-ZHENG Based on Statistical Analysis of Microarray Data,ZhangZhongYang/Tsinghua University,0/133
- Researches on the Statistical Methods about the Ability of Gene Classification to Classify Samples,ShenLiTong/Fujian Medical,0/33
- Boosting and Its Application in Discriminant Analysis of Microarray Data,FuChunFeng/Nanjing Medical University,1/127
- Based on the statistical analysis of microarray data mining techniques,WangChengXiong/University of Electronic Science and Technology,2/157
- Identification of Gastric Cancer-related Genes by Multiple High Throughput Expression Profile Analysis,ZhaoLinSheng/Tianjin Medical University,0/111
- The Development of Passive Detection-Based Biochip Application System,ZuoHuiHui/Jilin University,0/57
- The Study of Tumor Classification Methods Based on Microarray Data Analysis,XuChunGui/University of Science and Technology of China,1/91
- The Study of Gene Set Analysis Methods on Gene Expression Profiles and Its Applications in Medicine,CaoWenJun/Fourth Military Medical University,0/137
- Classification Based on Wavelet Transform and CART Algorithm for Microarray Data,ChenLei/Shandong Institute of Light Industry,0/25
- Based on the Wavelet Analysis for Feature Extraction of Microarray Data,LiuYuJie/Shandong Institute of Light Industry,0/24
- Research on Biological Information Mining Techniques of Large-Scale Biological Data,ZhangLei/Xiangtan University,1/193
- Evolutionary Computation in the medical application of data mining,LiuQiuYun/Guizhou University,0/49
- Using BRB-Array Tools to Identify Molecular Targets Influenced by TGF-β in Pulmonary Fibrosis,HuangDongDong/Suzhou University,0/121
- Based supervision singular value decomposition and class random forest decision-making method of tumor characteristic gene screening study,ChenYan/Hangzhou University of Electronic Science and Technology,1/53
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