The identification and validation of histone acetylation-related biomarkers in depression disorder based on bioinformatics and machine learning approaches

This study identified three hub genes (JDP2, ALOX5, and KPNB1) associated with histone acetylation, offering new insight into the diagnosis and treatment of DD.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-04-30
DOI
https://doi.org/10.3389/fnins.2025.1479616
Citations
1
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.58

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article

The identification and validation of histone acetylation-related biomarkers in depression disorder based on bioinformatics and machine learning approaches

Guimei Xing, Yiliang Lv, Jinxia Lv, Jie Chen et al.
1 citations
Frontiers in Neuroscience
Tryptophan and brain disorders
0.58
article

The identification and validation of histone acetylation-related biomarkers in depression disorder based on bioinformatics and machine learning approaches

Guimei Xing, Yiliang Lv, Jinxia Lv, Jie Chen, Yu Wang, Lei Shang, Yi Man, Lu Zhang, Mengqing Ma
article en
1 citations

Abstract

This study identified three hub genes (JDP2, ALOX5, and KPNB1) associated with histone acetylation, offering new insight into the diagnosis and treatment of DD.

Frontiers in NeuroscienceVol. 19
Bengbu Medical College (CN), Anhui Medical University (CN), Anhui Provincial Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 39%
Tryptophan and brain disorders
0.58
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The identification and validation of histone acetylation-related biomarkers in depression disorder based on bioinformatics and machine learning approaches — Guimei Xing, Yiliang Lv, et al. · Frontiers in Neuroscience (2025) | TGRS Research Map | TGRS