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Table 1 Characteristics of GEO datasets in this study

From: 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

Tissue

Dateset ID

Country

No.of samples

GPL ID

No.of rows per platform

Usage here

References

Blood

GSE68004

USA

76KD, 37HC

GPL10558

48,107

combined analysis

Jaggi et al., 2018 [20]

Blood

GSE73461

UK

77KD, 55HC

GPL10558

48,107

combined analysis

Wright et al., 2018 [10]

Blood

GSE18606

USA

20KD, 9HC

GPL6480

41,108

validation set

Fury et al., 2010 [21]

Blood

GSE63881

Singapore

171A, 170C

GPL10558

48,107

Validation set (KD following IVIG)

Hoang et al., 2014 [12]

  1. A Acute KD patients, C Convalescent KD patients