Identification of angiogenesis-related genes in diabetic foot ulcer using machine learning algorithms-Reference-Cited by-同舟云学术

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Identification of angiogenesis-related genes in diabetic foot ulcer using machine learning algorithms

Published:2023-12 Issue:12 Volume:9 Page:e23003
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Wang Xingkai,Meng Lei,Zhang Juewei,Zou Linxuan,Jia Zhuqiang,Han Xin,Zhao Lin,Song Mingzhi,Zhang Zhen,Zong Junwei,Wang Shouyu^ORCID,Lu Ming

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference31 articles.

1. Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis;Zhang;Ann. Med.,2017

2. Diabetic foot ulcer: challenges and future;Yang;World J. Diabetes,2022

3. Treatment of chronic ulcer in diabetic rats with self assembling nanofiber gel encapsulated-polydeoxyribonucleotide;Chen;Am J Transl Res,2016

4. Angiogenesis in chronic inflammatory skin disorders;Lee;Int. J. Mol. Sci.,2021

5. Angiogenesis and wound repair: when enough is enough;DiPietro;J. Leukoc. Biol.,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The role of machine learning in advancing diabetic foot: a review;Frontiers in Endocrinology;2024-04-29

2. Exosomes from MicroRNA-125b-Modified Adipose-Derived Stem Cells Promote Wound Healing of Diabetic Foot Ulcers;Current Stem Cell Research & Therapy;2024-04-24

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