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Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.

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Title: Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.
Authors: Li, Shenghao1 (AUTHOR), Peng, Qing2,3 (AUTHOR), Hao, Liyuan2,3,4 (AUTHOR), Mao, Jingyu1 (AUTHOR), Huo, Bingjie1 (AUTHOR) hbj331@hebmu.edu.cn
Source: PLoS Computational Biology. 7/16/2026, Vol. 22 Issue 7, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 7/16/2026, Vol. 22 Issue 7, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195428804
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        Value: 10.1371/journal.pcbi.1014514
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      – TitleFull: Screening of core targets for Di(2-ethylhexyl) Phthalate-related gastric cancer based on machine learning, molecular docking, and SHAP analysis.
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              Text: 7/16/2026
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              Y: 2026
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