IR@PKUHSC  > 北京大学基础医学院  > 医学信息学系
学科主题医学信息学
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
Wang, Dong1,2; Wang, Juan1,2; Lu, Ming1,2; Song, Fei1,3; Cui, Qinghua1,2
刊名BIOINFORMATICS
2010-07-01
DOI10.1093/bioinformatics/btq241
26期:13页:1644-1650
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
资助者Natural Science Foundation of China ; Natural Science Foundation of China
研究领域[WOS]Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
关键词[WOS]SEMANTIC SIMILARITY ; HOST GENES ; COEXPRESSION ; PREDICTION ; TARGETS
英文摘要

Motivation: It is popular to explore meaningful molecular targets and infer new functions of genes through gene functional similarity measuring and gene functional network construction. However, little work is available in this field for microRNA (miRNA) genes due to limited miRNA functional annotations. With the rapid accumulation of miRNAs, it is increasingly needed to uncover their functional relationships in a systems level.

Results: It is known that genes with similar functions are often associated with similar diseases, and the relationship of different diseases can be represented by a structure of directed acyclic graph (DAG). This is also true for miRNA genes. Therefore, it is feasible to infer miRNA functional similarity by measuring the similarity of their associated disease DAG. Based on the above observations and the rapidly accumulated human miRNA-disease association data, we presented a method to infer the pairwise functional similarity and functional network for human miRNAs based on the structures of their disease relationships. Comparisons showed that the calculated miRNA functional similarity is well associated with prior knowledge of miRNA functional relationship. More importantly, this method can also be used to predict novel miRNA biomarkers and to infer novel potential functions or associated diseases for miRNAs. In addition, this method can be easily extended to other species when sufficient miRNA-associated disease data are available for specific species.

语种英语
所属项目编号30900829
资助者Natural Science Foundation of China ; Natural Science Foundation of China
WOS记录号WOS:000278967500010
Citation statistics
Cited Times:119[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/60490
Collection北京大学基础医学院_医学信息学系
作者单位1.Peking Univ, Hlth Sci Ctr, Dept Biomed Informat, Beijing 100191, Peoples R China
2.Peking Univ, MOE Key Lab Mol Cardiol, Beijing 100191, Peoples R China
3.NW A&F Univ, Dept Sci, Shaanxi Key Lab Mol Biol Agr, Yangling 712100, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Wang, Dong,Wang, Juan,Lu, Ming,et al. Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases[J]. BIOINFORMATICS,2010,26(13):1644-1650.
APA Wang, Dong,Wang, Juan,Lu, Ming,Song, Fei,&Cui, Qinghua.(2010).Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases.BIOINFORMATICS,26(13),1644-1650.
MLA Wang, Dong,et al."Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases".BIOINFORMATICS 26.13(2010):1644-1650.
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