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Analysis of gene mutation that cause lung cancer by using data miningand study of common remedy

机译:基因突变的分析,用数据挖掘和常见疗法研究引起肺癌

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Although there are a lot of advances in treating cancer, lung cancer is still the top ranked killer cancer taking millions of people's lives. For heavy patients, targeted therapy is commonly used to delay the progress of cancer. However, different mutations that cause lung cancer need different drugs for the treatment. In order to find similarities between mutations, we conducted an experiment using apriori algorithm and decision tree algorithm in order to compare the DNA sequence of mutations that can possibly lead to lung cancer.
机译:虽然治疗癌症有很多进展,但肺癌仍然是患有数百万人的生命的杀手癌。对于重型患者,靶向治疗通常用于延缓癌症的进展。然而,导致肺癌的不同突变需要不同的药物治疗。为了找到突变之间的相似性,我们使用APRiori算法和决策树算法进行了实验,以比较可能导致肺癌的突变的DNA序列。

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