Home > Browse Issues > Vol.33 No.4
Research on the Gene Expression Profile Model Based on GIS
Long-Shan Zhao1, Xiao-Ling Yu1, Guo-Jie Hu 2, Fa-Qi Wu1*, Xiao-Mei Wei 2
1College of Resources and Environment, Northwest A & F University, Yangling 712100, China; 2College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China
Abstract: 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.
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