|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|
|WOS标题词||Science & Technology|
|类目[WOS]||Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability|
|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|
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.
|资助机构||Natural Science Foundation of China|
|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
|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.|
|btq241.pdf（360KB）||期刊论文||作者接受稿||开放获取||CC BY-NC-SA||浏览 请求全文|