推荐系统算法在生物信息学中应用的研究进展  

Research on the Application of the Recommended System Algorithm in Bioinformatics

作　　者：赵琪[1] 于海帆 胡桓[2] 张力[2] 刘宏生[2,3] 

机构地区：[1]辽宁大学数学院,辽宁沈阳110036 [2]辽宁大学生命科学院,辽宁沈阳110036 [3]辽宁省生物大分子计算模拟与信息处理工程技术研究中心,辽宁沈阳110036

出　　处：《辽宁大学学报（自然科学版）》2017年第4期357-363,共7页Journal of Liaoning University：Natural Sciences Edition

基　　金：辽宁省教育厅高等学校创新团队项目(LT2015011);沈阳市新兴产业创新平台项目

摘　　要：推荐系统算法是一种应用非常广泛的智能算法,比如对用户进行商品推荐.应用推荐系统算法,不仅节约时间,还可以节约资源.除了应用在商品推荐方面,推荐系统算法还可应用于生物信息学研究方面,比如预测长非编码RNA与疾病的关系,长非编码RNA与蛋白质的关系等.随着生物技术和医学研究的发展,越来越多的实验结果表明长非编码RNA与蛋白质的关系在疾病的发展过程中愈发重要.另一方面,生物实验研究不仅耗费很多资源,花费的时间也很多,而且准确性不一定高,所以发展节约资源且高效的智能算法是必然趋势.就以智能算法中的推荐系统算法为例,叙述长非编码RNA的概念以及推荐系统算法的概念,推荐系统算法的应用领域,优点与局限性;然后讨论推荐系统算法在生物信息学领域中的应用;接着详述如何用改进的二分投影推荐算法预测长非编码RNA-蛋白质相互作用关系;最后讨论推荐系统算法发展趋势.Recommended system algorithm is a very wide application of the intelligent algorithm,such as the recommendation of the product to users.The application of recommended systems not only saves time,but also can save resources.In addition,the recommended system algorithm can also be applied to bioinformatics research,such as predicting the relationship between lncRNAs and diseases,lncRNA-protein interactions.With the development of biotechnology and medical research,more and more experimental evidences showthat therelationship between lncRNA and protein is becoming more and more important in the development of diseases.On the other hand,experimental research cost lots of resources,spent a lot of time and not had necessarily high accuracy.Therefore,the development of efficient and resource-saving intelligent algorithms is an inevitable trend.In this paper,we descripted the related concepts of lncRNAs and the recommended system,and discussed application fields,advantages and limitations of the recommended system algorithm.Then,we discussed the application of recommended system algorithm in the biological field.Especially,predicting lncRNA-protein relationship based on the Bipartite Network Projection Recommended Algorithm.Finally,we discussed the tendency of the development of the recommended system algorithm.

关 键 词：长非编码RNA 蛋白质 推荐系统算法 智能算法 

分 类 号：R857.3[医药卫生—航空、航天与航海医学]