本文在合理假设的基础上,根据2010年全国研究生数学建模竞赛A题提供的数据及相关信息,在GIS的持下构建了基因表达图谱模型(简称GEPM),并对其进行空间分析,从而达到对肿瘤识别信息基因提取的目的。结果表明,在参与分析的1991个基因中,有7个基因可以作为肿瘤认别的信息基因;通过GIS技术构建GEPM对于肿瘤的识别与诊断是可行的。因此,通过本文的研究为基因的识别和研究提供了新的方法。
In this paper, in support of GIS technology, we established gene expression profile models (in short of GEPM) and analyzed its spatial information based on the reasonable assumption, according to the dates and related information provided by the question A of 2010 National Graduate Mathematical Modeling Contest, so as to achieve extraction of informative genes which can identify tumor. The results showed that among 1 991 genes analyzed, there were 7 genes can be regarded as informative genes which could identify the tumor; It was feasible to identify and diagnose the tumor through GIS technology to build GEPM.. Therefore, this study provided a new approach to identify and study genes.