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Integrating Divergence-Based Proteomic Analysis and Directed Network Diffusion to Characterize Diagnosis-Anchored Molecular Variability at the Metabolic Syndrome–Migraine Interface.

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Title: Integrating Divergence-Based Proteomic Analysis and Directed Network Diffusion to Characterize Diagnosis-Anchored Molecular Variability at the Metabolic Syndrome–Migraine Interface.
Authors: Wang, Bei1 (AUTHOR), Li, Yulin1,2 (AUTHOR), Liu, Yixing1,2 (AUTHOR), Han, Dongran1,2 (AUTHOR) handongran@bucm.edu.cn
Source: International Journal of Molecular Sciences. Jun2026, Vol. 27 Issue 11, p4820. 21p.
Database: Academic Search Ultimate
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  Data: Integrating Divergence-Based Proteomic Analysis and Directed Network Diffusion to Characterize Diagnosis-Anchored Molecular Variability at the Metabolic Syndrome–Migraine Interface.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Bei%22">Wang, Bei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yulin%22">Li, Yulin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yixing%22">Liu, Yixing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Dongran%22">Han, Dongran</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> handongran@bucm.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Jun2026, Vol. 27 Issue 11, p4820. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194582491
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/ijms27114820
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Integrating Divergence-Based Proteomic Analysis and Directed Network Diffusion to Characterize Diagnosis-Anchored Molecular Variability at the Metabolic Syndrome–Migraine Interface.
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            NameFull: Wang, Bei
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            NameFull: Li, Yulin
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            NameFull: Liu, Yixing
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              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 27
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              Value: 11
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