Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.

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Title: Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.
Authors: Yuan, Keji1 (AUTHOR), Nault, Rance1,2 (AUTHOR)
Source: Toxicological Sciences. Jul2025, Vol. 206 Issue 1, p19-29. 11p.
Database: Environment Complete
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An: 186630450
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PubType: Academic Journal
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  Data: Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.
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  Data: <searchLink fieldCode="AR" term="%22Yuan%2C+Keji%22">Yuan, Keji</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nault%2C+Rance%22">Nault, Rance</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Toxicological+Sciences%22">Toxicological Sciences</searchLink>. Jul2025, Vol. 206 Issue 1, p19-29. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=186630450
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/toxsci/kfaf065
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 19
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      – TitleFull: Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.
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          Name:
            NameFull: Yuan, Keji
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            NameFull: Nault, Rance
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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