Investigating the impact of inflammatory response-related genes on renal fibrosis diagnosis: a machine learning-based study with experimental validation-Reference-Cited by-同舟云学术

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Investigating the impact of inflammatory response-related genes on renal fibrosis diagnosis: a machine learning-based study with experimental validation

Published:2024-02-21 Issue: Volume: Page:1-13
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Yuan Ziwei¹,Yang Xuejia²,Hu Zujian²,Gao Yuanyuan²,Yan Penghua²,Zheng Fan²,Hong Kai³,Cen Kenan³,Mai Yifeng³,Bai Yongheng²,Guo Yangyang³,Zhou Jingzong¹

Affiliation:

1. Department of Endocrinology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, Zhejiang, China

2. Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

3. Department of General Surgery, Ningbo First Hospital, Ningbo, China

Funder

Ningbo University Institute of Geriatrics

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2317992

Reference59 articles.

1. Renal biopsy for medical renal disease: Indications and contraindications;The Canadian Journal of Urology,2016

2. Capturing the interactome of newly transcribed RNA

3. Epithelial Notch signaling regulates interstitial fibrosis development in the kidneys of mice and humans

4. Insights into the molecular basis of the NOD2 signalling pathway

5. Gene-specific patterns of expression variation across organs and species

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