Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning

Our integrated approach identified five hub genes associated with LC, providing valuable clues to predict and treat LC.

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Publication Details

Journal
Biochemistry and Biophysics Reports
Published
2026-03-14
DOI
https://doi.org/10.1016/j.bbrep.2026.102538
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning

Junxia Zhao, Ting Chen, Zhangyu Jia, Na Huang et al.
Biochemistry and Biophysics Reports
Liver Disease Diagnosis and Treatment
article

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning

Junxia Zhao, Ting Chen, Zhangyu Jia, Na Huang, Kang Zhang
article en

Abstract

Our integrated approach identified five hub genes associated with LC, providing valuable clues to predict and treat LC.

Biochemistry and Biophysics ReportsVol. 46
Second Affiliated Hospital of Xi'an Jiaotong University (CN)
Openalex Percentile: Top 25%
Liver Disease Diagnosis and Treatment
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Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning — Junxia Zhao, Ting Chen, et al. · Biochemistry and Biophysics Reports (2026) | TGRS Research Map | TGRS