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miRTRS: A Recommendation Algorithm for Predicting miRNA Targets

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成果类型:
期刊论文
作者:
Jiang, Hui;Wang, Jianxin*;Li, Min;Lan, Wei;Wu, Fang-Xiang;...
通讯作者:
Wang, Jianxin
作者机构:
[Li, Min; Jiang, Hui; Lan, Wei; Wang, Jianxin] Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
[Jiang, Hui] Univ South China, Sch Comp Sci & Technol, Hengyang 421001, Peoples R China.
[Wu, Fang-Xiang] Univ Saskatchewan, Div Biomed Engn, Saskatoon, SK S7N 5A9, Canada.
[Pan, Yi] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA.
通讯机构:
[Wang, Jianxin] C
Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
语种:
英文
关键词:
Prediction algorithms;Bipartite graph;Feature extraction;Prediction methods;Gene expression;Software algorithms;miRNA target;recommendation algorithm;bipartite graph
期刊:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
ISSN:
1545-5963
年:
2020
卷:
17
期:
3
页码:
1032-1041
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61622213, 61732009 and 61420106009) 10.13039/501100013314-Higher Education Discipline Innovation Project (Grant Number: B18059)
机构署名:
本校为其他机构
院系归属:
计算机科学与技术学院
摘要:
microRNAs (miRNAs) are small and important non-coding RNAs that regulate gene expression in transcriptional and post-transcriptional level by combining with their targets (genes). Predicting miRNA targets is an important problem in biological research. It is expensive and time-consuming to identify miRNA targets by using biological experiments. Many computational methods have been proposed to predict miRNA targets. In this study, we develop a novel method, named miRTRS, for predicting miRNA targets based on a recommendation algorithm. miRTRS ca...

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