Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model
Yaxue Xie(Shandong University), Bo Han(Shandong University), Hongshuo Shi(Shandong University of Traditional Chinese Medicine)
Cited by 49
Related Papers
Ligustrazine nano-drug delivery system ameliorates doxorubicin-mediated myocardial injury via piezo-type mechanosensitive ion channel component 1-prohibitin 2-mediated mitochondrial quality surveillance
|Journal of Nanobiotechnology|2025|100
KIF15-Mediated Stabilization of AR and AR-V7 Contributes to Enzalutamide Resistance in Prostate Cancer
|Cancer Research|2020|90
Worldwide Research Trends on Diabetic Foot Ulcers (2004–2020): Suggestions for Researchers
|Journal of Diabetes Research|2022|69
Identifying and Validating GSTM5 as an Immunogenic Gene in Diabetic Foot Ulcer Using Bioinformatics and Machine Learning
|Journal of Inflammation Research|2023|60
Efficacy and Safety of Transcutaneous Electrical Acupoint Stimulation for Postoperative Pain: A Meta-Analysis of Randomized Controlled Trials
|Pain Research and Management|2022|55