cancer; data analysis; genetics; graph theory; lab-on-a-chip; medical computing; probability; tumours; cancer data; coanalysis framework; cross-batch prediction; data sources; dense subgraph problem; gene; graph theory; improved ratio-based batch effect removal algorithm; large volume microarray data sets; microarray expression data; nontumor prediction; probability density functions; tumor prediction; Algorithm design and analysis; Bipartite graph; Cancer; Correlation; Gene expression; Lungs; Tumors;
机译:探索多元科学数据的协同分析框架
机译:使用基于比值比的遗传算法进行单核苷酸多态条码评估口腔癌风险
机译:介绍基于数据挖掘算法,散射插值法和多标准决策分析(DID)从废水中造型框架
机译:基于比率的(IRB)批量效应在共同分析框架中的癌症数据去除算法
机译:全基因组表达数据的成对排序和去除网络分析:理论,新算法和癌症基因组图谱的数据分析
机译:基于微阵列的乳腺癌RNA谱分析:批量效应去除改善跨平台一致性。
机译:用于探索多变量科学数据的共同分析框架