Integrating explainable deep learning with multi-omics for screening progressive diagnostic biomarkers of hepatocellular carcinoma covering the “inflammation-cancer” transformation

Authors

Xiao Wei (ORCID: https://orcid.org/0000-0002-4092-3059)
Huarong Xu (ORCID: https://orcid.org/0000-0002-5726-6796)
Yijing Dong
Lifang Guan (ORCID: https://orcid.org/0000-0003-0762-8944)
Yan Cui (ORCID: https://orcid.org/0000-0002-7577-6845)
Saiyu Li (ORCID: https://orcid.org/0000-0002-7897-5559)
Mingzhe Zhang (ORCID: https://orcid.org/0000-0002-6987-5572)
Yiwen Zhang (ORCID: https://orcid.org/0000-0001-8709-1088)
Qinghua Li (ORCID: https://orcid.org/0000-0001-5291-1445)
Zhenzhong Wang (ORCID: https://orcid.org/0000-0002-1364-3537)
Qian Zhang (ORCID: https://orcid.org/0000-0001-8648-6467)

Institutions

Shenyang Pharmaceutical University (CN)
Kanion Pharmaceutical (China) (CN)

Publication Details

Journal: Journal of Pharmaceutical Analysis
Published: 2025-03-01
DOI: https://doi.org/10.1016/j.jpha.2025.101253
Citations: 2
Primary Topic: Cancer-related molecular mechanisms research
Type: article
Field-Weighted Citation Impact: 1.87

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article

Integrating explainable deep learning with multi-omics for screening progressive diagnostic biomarkers of hepatocellular carcinoma covering the “inflammation-cancer” transformation

Xiao Wei, Huarong Xu, Yijing Dong, Lifang Guan et al.

Mar 1, 2025

2 citations

Journal of Pharmaceutical Analysis

Cancer-related molecular mechanisms research

1.87

article

Integrating explainable deep learning with multi-omics for screening progressive diagnostic biomarkers of hepatocellular carcinoma covering the “inflammation-cancer” transformation

Xiao Wei, Huarong Xu, Yijing Dong, Lifang Guan, Yan Cui, Saiyu Li, Mingzhe Zhang, Yiwen Zhang, Qinghua Li, Zhenzhong Wang, Qian Zhang

March 1, 2025article en

2 citations

Abstract

No abstract available for this paper.

Journal of Pharmaceutical AnalysisVol. 15(9)

Shenyang Pharmaceutical University (CN), Kanion Pharmaceutical (China) (CN)

Good health and well-being

Openalex Percentile: Top 16%

Cancer-related molecular mechanisms research

1.87

DOI Open Access PDF OpenAlex

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