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Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.

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Title: Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.
Authors: Rahman, Fadhlan Abdur1 fadhlanabdurrahman@gmail.com, Suryono, Suryono2,3, Maulana, Aditha Satria3, Wulandari, Pipiet2,3
Source: Research in Heart Yield & Translational Medicine (RHYTHM). 2026, Vol. 21 Issue 1, p40-49. 10p.
Database: Academic Search Ultimate
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  Data: Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.
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  Data: <searchLink fieldCode="JN" term="%22Research+in+Heart+Yield+%26+Translational+Medicine+%28RHYTHM%29%22">Research in Heart Yield & Translational Medicine (RHYTHM)</searchLink>. 2026, Vol. 21 Issue 1, p40-49. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193854827
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        Value: 10.18502/jthc.v21i1.21282
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        Text: English
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      – TitleFull: Systems-Level in Silico Bioinformatic Profiling Identifies Key Hub Genes and Potential Therapeutic Targets in Atrial Fibrillation without Overt Comorbidity.
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              Text: 2026
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              Y: 2026
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