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MDA-TOEPGA: A novel method to identify miRNA-disease association based on two-objective evolutionary programming genetic algorithm

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成果类型:
期刊论文
作者:
Cao, Buwen;Luo, Jiawei;Xiao, Sainan;Zhou, Xiangjun
通讯作者:
Cao, BW;Luo, JW
作者机构:
[Xiao, Sainan; Zhou, Xiangjun; Cao, Buwen] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
[Xiao, Sainan; Luo, Jiawei] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
通讯机构:
[Luo, JW ; Cao, BW ] H
Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Evolutionary programming genetic algorithm;MiRNA functional module;MiRNA-disease association;Two-objective
期刊:
生物细胞(英文)
ISSN:
0327-9545
年:
2022
卷:
46
期:
6
页码:
1925-1933
基金类别:
Funding Statement: This work was supported in part by the National Natural Science Foundation of China under Grants 61873089, 62032007 and the Key Project of the Education Department of Hunan Province under Grant 20A087, the Innovation Platform Open Fund Project of Hunan Provincial Education Department under Grant 20K025.
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
The association between miRNA and disease has attracted more and more attention. Until now, existing methods for identifying miRNA related disease mainly rely on top-ranked association model, which may not provide a full landscape of association between miRNA and disease. Hence there is strong need of new computational method to identify the associations from miRNA group view. In this paper, we proposed a framework, MDA-TOEPGA, to identify miRNA-disease association based on two-objective evolutionary programming genetic algorithm, which identif...

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