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学科主题: 医学信息学
题名:
Cepred: Predicting the Co-Expression Patterns of the Human Intronic microRNAs with Their Host Genes
作者: Wang, Dong1,2; Lu, Ming1,2; Miao, Jing3; Li, Tingting4; Wang, Edwin5; Cui, Qinghua1,2
刊名: PLOS ONE
发表日期: 2009-02-10
DOI: 10.1371/journal.pone.0004421
卷: 4, 期:2
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Multidisciplinary Sciences
研究领域[WOS]: Science & Technology - Other Topics
关键词[WOS]: HUMAN TISSUES ; RNA ; IDENTIFICATION ; GENOMICS ; ROLES ; ATLAS
英文摘要:

Identifying the tissues in which a microRNA is expressed could enhance the understanding of the functions, the biological processes, and the diseases associated with that microRNA. However, the mechanisms of microRNA biogenesis and expression remain largely unclear and the identification of the tissues in which a microRNA is expressed is limited. Here, we present a machine learning based approach to predict whether an intronic microRNA show high co-expression with its host gene, by doing so, we could infer the tissues in which a microRNA is high expressed through the expression profile of its host gene. Our approach is able to achieve an accuracy of 79% in the leave-one-out cross validation and 95% on an independent testing dataset. We further estimated our method through comparing the predicted tissue specific microRNAs and the tissue specific microRNAs identified by biological experiments. This study presented a valuable tool to predict the co-expression patterns between human intronic microRNAs and their host genes, which would also help to understand the microRNA expression and regulation mechanisms. Finally, this framework can be easily extended to other species.

语种: 英语
所属项目编号: 2007CB512100 ; 985-2-108-121
项目资助者: National Basic Research program of China ; 985 project of Peking University
WOS记录号: WOS:000265484000010
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/66587
Appears in Collections:基础医学院_医学信息学系_期刊论文

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作者单位: 1.Peking Univ, Hlth Sci Ctr, Dept Med Informat, Beijing 100871, Peoples R China
2.Peking Univ, MOE Key Lab Mol Cardiol, Beijing, Peoples R China
3.Peking Univ, Hosp 1, Dept Pediat, Beijing, Peoples R China
4.Tsinghua Univ, MOE Key Lab Bioinformat, Beijing, Peoples R China
5.Natl Res Council Canada, Biotechnol Res Inst, Comp Chem & Biol Grp, Montreal, PQ, Canada

Recommended Citation:
Wang, Dong,Lu, Ming,Miao, Jing,et al. Cepred: Predicting the Co-Expression Patterns of the Human Intronic microRNAs with Their Host Genes[J]. PLOS ONE,2009,4(2).
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