文献类型：期刊文献

英文题名：Bioinformatics analysis and machine learning to screen key autophagy genes in diabetic foot ulcers

作者：Shan, Bin[1];Zeng, Zhaoyang[2];Jing, Shuaishuai[1];Pan, Haibang[2]

第一作者：Shan, Bin

通信作者：Zeng, ZY[1]

机构：[1]Gansu Univ Chinese Med, Lanzhou 730000, Gansu, Peoples R China;[2]Gansu Univ Tradit Chinese Med, Affiliated Hosp, 732 Jiayuguan West Rd, Lanzhou 730000, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Univ Tradit Chinese Med, Affiliated Hosp, 732 Jiayuguan West Rd, Lanzhou 730000, Peoples R China.|[10735b845793de6ae2b30]甘肃中医药大学第二附属医院;[10735]甘肃中医药大学;

年份：2025

卷号：48

期号：8

起止页码：5007

外文期刊名：ASIAN JOURNAL OF SURGERY

收录：;Scopus(收录号：2-s2.0-105002812062);WOS:【SCI-EXPANDED(收录号:WOS:001559906100001)】；

基金：This study was supported by the project of Lanzhou Science and Technology Program, "Research on the regulation of high glucose-induced tendon fibroblasts by myogenic yukon cream extract based on mTOR-mediated cellular autophagy" (2023-ZD-210) and the project of Lanzhou Chengguan District Science and Technology Program, "Exploring myogenic yukon based on the network platform Red Paste in the Standardized Application of Home Treatment for Diabetic Ulcer Patients" (2022SHH-210) were supported.

语种：英文

摘要：[No abstract available]