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Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data.

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Title: Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data.
Authors: Shi, Jiawei1,2,3 (AUTHOR), Wang, Zhen1,2,3 (AUTHOR), Bai, Ying1,2,3 (AUTHOR), Li, Shiying1,2,3 (AUTHOR), Zhang, Xin1,2,3 (AUTHOR), Liu, Tianshu1,2,3 (AUTHOR), Hong, Liu1,2,3 (AUTHOR), Cui, Li1,2,3 (AUTHOR), Zhang, Yi1,2,3 (AUTHOR), Ma, Jing1,2,3 (AUTHOR), Liu, Juanjuan1,2,3 (AUTHOR), Zhang, Jing1,2,3 (AUTHOR), Cao, Haiyan1,2,3 (AUTHOR) haiyancao@hust.edu.cn, Wang, Jing1,2,3 (AUTHOR) jingwang2004@hust.edu.cn
Source: Congenital Heart Disease. 2025, Vol. 20 Issue 2, p213-229. 17p.
Database: Academic Search Ultimate
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An: 185308304
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  Data: Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data.
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  Data: <searchLink fieldCode="JN" term="%22Congenital+Heart+Disease%22">Congenital Heart Disease</searchLink>. 2025, Vol. 20 Issue 2, p213-229. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185308304
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        Value: 10.32604/chd.2025.064950
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 213
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      – TitleFull: Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data.
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              Text: 2025
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