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GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder.

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Title: GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder.
Authors: Wang, Li1, Zhang, Hao1,2, zhangh@jlu.edu.cn, Chang, Hao-Wu2, Qin, Qing-Ming3, Zhang, Bo-Rui4, Li, Xue-Qing2, Zhao, Tian-Heng2, Zhang, Tian-Yue2
Source: Journal of Computer Science & Technology (10009000); Apr2021, Vol. 36 Issue 2, p299-309, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 149809898
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149809898
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      – Type: doi
        Value: 10.1007/s11390-021-0804-3
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 299
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      – TitleFull: GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder.
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            NameFull: Wang, Li
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            NameFull: Chang, Hao-Wu
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            NameFull: Qin, Qing-Ming
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            NameFull: Zhang, Bo-Rui
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            NameFull: Li, Xue-Qing
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            – D: 01
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              Text: Apr2021
              Type: published
              Y: 2021
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            – TitleFull: Journal of Computer Science & Technology (10009000)
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