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Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk

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成果类型:
期刊论文
作者:
Li, Guanghui;Luo, Jiawei*;Xiao, Qiu;Liang, Cheng;Ding, Pingjian;...
通讯作者:
Luo, Jiawei
作者机构:
[Li, Guanghui] East China Jiaotong Univ, Sch Informat Engn, Nanchang 330013, Jiangxi, Peoples R China.
[Xiao, Qiu; Luo, Jiawei; Ding, Pingjian] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
[Liang, Cheng] Shandong Normal Univ, Coll Informat Sci & Engn, Jinan 250000, Shandong, Peoples R China.
[Cao, Buwen] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Luo, Jiawei] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
Deep learning;disease-related microRNAs;microRNA-disease association;similarity measure
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2017
卷:
5
页码:
24032-24039
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 61572180 and Grant 61602283, in part by the Key Project of the Education Department of Hunan Province under Grant 17A037, and in part by the Hunan Provincial Innovation Foundation for Postgraduate under Grant CX2017B102.
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
Recently, increasing experimental studies have shown that microRNAs (miRNAs) involved in multiple physiological processes are connected with several complex human diseases. Identifying human disease-related miRNAs will be useful in uncovering novel prognostic markers for cancer. Currently, several computational approaches have been developed for miRNA-disease association prediction based on the integration of additional biological information of diseases and miRNAs, such as disease semantic similarity and miRNA functional similarity. However, t...

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