计算机科学 ›› 2022, Vol. 49 ›› Issue (1): 264-270.doi: 10.11896/jsjkx.201100129
李家文, 郭炳晖, 杨小博, 郑志明
LI Jia-wen, GUO Bing-hui, YANG Xiao-bo, ZHENG Zhi-ming
摘要： 基因在生命科学领域的研究中占据着重要地位,而致病基因则是关键重心之一。对致病基因的精准识别可以揭示疾病在分子层面的发病机制,为疾病的预防、诊断及治疗等多个阶段提供强力支撑。准确识别致病基因的关键在于给出基因之间的相似性度量。文中利用复杂网络对生物系统进行建模,并提出了一种带有耗散机制的多源头重启随机游走模型DRWMR来度量基因之间的功能相似程度。首先基于NCBI等生物数据库构建人类基因相互作用网络,并在KEGG的疾病-基因关联数据集上开展实验对已知致病基因进行识别。与SP,RWR和PRINCE 3种现有模型进行对比,DRWMR准确预测了581种疾病中的156种,而其余模型平均正确预测了121.3种,DRWMR的平均预测分数相比其余模型的预测分数均值高出9.46%。最后使用所提模型预测哮喘、血友病和PEHO综合征的潜在致病基因,预测结果均在文献或数据库中找到了理论或实验支持。
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