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A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer.

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Title: A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer.
Authors: Ding, Hui (AUTHOR), Ke, Zhonghe (AUTHOR), Xiao, Xiao (AUTHOR), Xin, Beibei (AUTHOR), Xiong, Hui (AUTHOR), Lu, Wen (AUTHOR)
Source: International Journal of Women's Health. Mar2025, Vol. 17, p739-749. 11p.
Database: Academic Search Ultimate
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  Data: A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer.
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  Data: <searchLink fieldCode="AR" term="%22Ding%2C+Hui%22">Ding, Hui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ke%2C+Zhonghe%22">Ke, Zhonghe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiao%2C+Xiao%22">Xiao, Xiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xin%2C+Beibei%22">Xin, Beibei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiong%2C+Hui%22">Xiong, Hui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Wen%22">Lu, Wen</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Women's+Health%22">International Journal of Women's Health</searchLink>. Mar2025, Vol. 17, p739-749. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184500538
RecordInfo BibRecord:
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        Value: 10.2147/IJWH.S494703
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer.
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            NameFull: Ding, Hui
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            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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              Value: 17
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