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中文摘要：
复杂疾病相关靶基因的识别、构建疾病驱使相关基因网络及进行疾病机制研究，是功能基因组学研究中非常重要的科学问题。文章以计算系统生物学的观点和三维的角度，综述了基于生物谱（SNP遗传谱、芯片表达谱和2D-PAGE蛋白质谱等）的复杂疾病靶基因识别、多水平（SNPs虚拟网络、基因调控网络、蛋白质互作网络等）遗传网络逆向重构方法，及不同水平的网络之间在生物学和拓扑学上的纵向映射关系，并给出复杂疾病靶基因识别与网络关系的计算系统生物方法研究的未来展望。
英文摘要：
Identifying target genes, constructing disease-driven gene networks for complex diseases and further research on pathogenesis are the key fields in the function genomics study. From computa- tional systems biological and three dimensional viewpoints, the authors carefully review on identifying tar-get genes based on biological profiles （SNP genetic profiles, gene expression profiles, 2D-PAGE protein profiles and so on） for complex diseases, reverse engineering genetic networks from multi-levels （SNPs dummy networks, gene regulatory networks, protein-protein interaction networks and so on） and portrait matching these heterogeneous networks from biology and topology. Furthermore, the authors also prospect the computational systems biological research on identification of target genes and construction of genetic networks for complex diseases.
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