单位:[1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China口腔科华中科技大学同济医学院附属同济医院[2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
This work was supported by grants from the National Natural Science Foundation of China (No. 62171193), the Natural Science Foundation of Hubei Province (No. 2021CFB399), the Foundation of Health Commission of Hubei Province (No. WJ2021M125), and the Key Research and Development Project of Hubei Province of China (No. 2022BCA033).
第一作者单位:[1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China[2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
通讯作者:
通讯机构:[1]Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China[2]School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
推荐引用方式(GB/T 7714):
Yang Yan,Hu Pei,Chen Su-Rong,et al.Predicting the Activity of Oral Lichen Planus with Glycolysis-related Molecules: A Scikit-learn-based Function[J].CURRENT MEDICAL SCIENCE.2023,43(3):602-608.doi:10.1007/s11596-023-2716-7.
APA:
Yang Yan,Hu Pei,Chen Su-Rong,Wu Wei-Wei,Chen Pan...&Hu Jing-Yu.(2023).Predicting the Activity of Oral Lichen Planus with Glycolysis-related Molecules: A Scikit-learn-based Function.CURRENT MEDICAL SCIENCE,43,(3)
MLA:
Yang Yan,et al."Predicting the Activity of Oral Lichen Planus with Glycolysis-related Molecules: A Scikit-learn-based Function".CURRENT MEDICAL SCIENCE 43..3(2023):602-608