【摘要】 针对癌症样本类型存在的局部相关性,提出了一种新颖的基因特征抽取算法。利用基因表达谱中基因表达数据的空间映射,提取不同类型癌症的致癌因子,并构建癌症组的关联空间,在关联空间之上抽取分类基因特征。理论证明可以有效识别癌症模式,并在急性白血病数据集上进行实验,结果表明利用抽取的分类基因特征可以有效识别AML/ALL。更多还原

【Abstract】 Using the cancerogenic factor’s local correlation to a type of cancer,a novel method of gene features extraction is proposed.Using gene features transformation,the cancerogenic factors are extracted to different cancers and a relative space is built to the cancer,then the gene features are extracted for cancers with them.The cancer pattern is proved to can be recognized.The experiment is explored in the Leukemia dataset and Colon dataset,the results show that AML/ALL and to Tumor Colon Tissue(TCT)/normal Colon Tissue(NCT) are recognized effectively.更多还原