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IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations
Wang, Qi1,2; Yan, Guiying1,2
2019-12-06
发表期刊FRONTIERS IN GENETICS
卷号10页码:10
摘要It has been demonstrated that long non-coding RNAs (lncRNAs) play important roles in a variety of biological processes associated with human diseases. However, the identification of lncRNA-disease associations by experimental methods is time-consuming and labor-intensive. Computational methods provide an effective strategy to predict more potential lncRNA-disease associations to some degree. Based on the hypothesis that phenotypically similar diseases are often associated with functionally similar lncRNAs and vice versa, we developed an improved diffusion model to predict potential lncRNA-disease associations (IDLDA). As a result, our model performed well in the global and local cross-validations, which indicated that IDLDA had a great performance in predicting novel associations. Case studies of colon cancer, breast cancer, and gastric cancer were also implemented, all lncRNAs which ranked top 10 in both databases were verified by databases and related literature. The results showed that IDLDA might play a key role in biomedical research.
关键词long non-coding RNA disease association prediction computational prediction model diffusion model
DOI10.3389/fgene.2019.01259
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[11631014]
WOS研究方向Genetics & Heredity
WOS类目Genetics & Heredity
WOS记录号WOS:000504209400001
出版者FRONTIERS MEDIA SA
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50458
专题应用数学研究所
通讯作者Yan, Guiying
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
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Wang, Qi,Yan, Guiying. IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations[J]. FRONTIERS IN GENETICS,2019,10:10.
APA Wang, Qi,&Yan, Guiying.(2019).IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations.FRONTIERS IN GENETICS,10,10.
MLA Wang, Qi,et al."IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations".FRONTIERS IN GENETICS 10(2019):10.
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