Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy

This study reveals immune-related mechanistic biomarkers and potential therapeutic targets in HCM, highlighting the role of immune dysregulation in disease progression. Machine learning and SHAP analysis improved diagnostic model interpretability, providing a basis for future development of non-invasive diagnostic tools.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-09-26
DOI
https://doi.org/10.3389/fimmu.2025.1645382
Citations
2
Primary Topic
Galectins and Cancer Biology
Type
article
Field-Weighted Citation Impact
1.59
Controls
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article

Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy

Qingxiao Nong, Dalang Fang, Jinfeng Wang, Q. Liang et al.
2 citations
Frontiers in Immunology
Galectins and Cancer Biology
1.59
article

Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy

Qingxiao Nong, Dalang Fang, Jinfeng Wang, Q. Liang, Shouwen Tao
article en
2 citations

Abstract

This study reveals immune-related mechanistic biomarkers and potential therapeutic targets in HCM, highlighting the role of immune dysregulation in disease progression. Machine learning and SHAP analysis improved diagnostic model interpretability, providing a basis for future development of non-invasive diagnostic tools.

Frontiers in ImmunologyVol. 16
Affiliated Hospital of Youjiang Medical University for Nationalities (CN), Baise University (CN)
Openalex Percentile: Top 14%
Galectins and Cancer Biology
1.59
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