Bioinformatics Analysis of the Diagnostic Value of Copper and Zinc Metabolism‐Related Genes in Major Depressive Disorder: An In Silico Multi‐Cohort Study

Na Huang, Jie Chen, Yingjian Wang, Chunjie Duan, Hao Dai

Open source

DOI
10.1096/fj.202603506r
Published
2026-08-20
Container
The FASEB Journal
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1096/fj.202603506r,
  title = {Bioinformatics Analysis of the Diagnostic Value of Copper and Zinc Metabolism‐Related Genes in Major Depressive Disorder: An In Silico Multi‐Cohort Study},
  author = {Na Huang and Jie Chen and Yingjian Wang and Chunjie Duan and Hao Dai},
  year = {2026},
  journal = {The FASEB Journal},
  doi = {10.1096/fj.202603506r},
  url = {https://doi.org/10.1096/fj.202603506r}
}

RIS

TY  - JOUR
TI  - Bioinformatics Analysis of the Diagnostic Value of Copper and Zinc Metabolism‐Related Genes in Major Depressive Disorder: An In Silico Multi‐Cohort Study
AU  - Na Huang
AU  - Jie Chen
AU  - Yingjian Wang
AU  - Chunjie Duan
AU  - Hao Dai
PY  - 2026
JO  - The FASEB Journal
DO  - 10.1096/fj.202603506r
UR  - https://doi.org/10.1096/fj.202603506r
ER  - 

APA

Huang, N., Chen, J., Wang, Y., Duan, C., & Dai, H. (2026). Bioinformatics Analysis of the Diagnostic Value of Copper and Zinc Metabolism‐Related Genes in Major Depressive Disorder: An In Silico Multi‐Cohort Study. The FASEB Journal. https://doi.org/10.1096/fj.202603506r

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