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

• Main Authors: Yaxue Xie (Author), Hongshuo Shi (Author), Bo Han (Author)
• פורמט: ספר
• יצא לאור: BMC, 2023-02-01T00:00:00Z.
• נושאים: article
• גישה מקוונת: Connect to this object online.

Abstract Background Kawasaki disease (KD) is a febrile systemic vasculitis involvingchildren younger than five years old. However, the specific biomarkers and precise mechanisms of this disease are not fully understood, which can delay the best treatment time, hence, this study aimed to detect the p...