associative processing; bioinformatics; biological organs; cancer; data analysis; data mining; electronic health records; genetics; genomics; medical computing; text analysis; tumours; EMR data; GAD data; GeneCards; Genetic Association Database data; Google distance algorithm; KEGG pathway analysis; MEDLINE database; MeSH term; OMIM data; Online Mendelian Inheritance in Man data; biomedical knowledge discovery; biomedical literature mining; clinic data mapping; clinic-genomic association identification; clinic-genomic association measurement; clinical concept association; clinical data-genomic data association; disease research; electronic medical record data; gene association; genomic data mapping; malignant tumor; molecular mechanism; normalized Google distance modification; quantitative analysis; quantitative measurement; year average; Cancer; Databases; Diseases; Genomics; PubMed; association mining; colorectal cancer; google distance; literature mining;
机译:使用公开可用数据集的大肠癌临床基因组关联挖掘
机译:使用公开可用数据集的大肠癌临床基因组关联挖掘
机译:多维定量关联规则挖掘算法综述
机译:基于文献挖掘和谷歌距离算法的结直肠癌临床基因组关联的定量测量
机译:在以人群为基础的早发性大肠癌患者样本中预测定量模型预测Lynch综合征(遗传性非息肉病性大肠直肠癌,DNA失配修复缺陷)的准确性
机译:使用公开可用数据集的大肠癌临床基因组关联挖掘
机译:定量偏差分析,以估算自我报告的身体活性和结直肠癌风险之间关联的测量误差相关衰减