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

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 potential...

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Detalles Bibliográficos
Autores principales: Xie, Yaxue, Shi, Hongshuo, Han, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951419/
https://www.ncbi.nlm.nih.gov/pubmed/36829193
http://dx.doi.org/10.1186/s12887-023-03896-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951419/
https://www.ncbi.nlm.nih.gov/pubmed/36829193
http://dx.doi.org/10.1186/s12887-023-03896-4

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