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Table 3 The specific information of the selected hub genes between KDs and HCs in the training set. Coefficient is the result of genes obtained from LASSO regression analysis

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

Gene

logFC

P–Value

Coefficience

ACSL1

2.648

1.19E-46

-

ADM

2.846

6.47E-64

0.000125746

ALPL

3.507

1.44E-62

2.68362E-05

B4GALT5

2.048

1.22E-63

-

BCL6

2.437

1.22E-62

1.96294E-08

DYSF

2.629

2.58E-54

-

LOC440731

2.687

4.46E-69

-

PYGL

2.382

1.01E-65

4.23351E-05

TLR5

3.095

1.54E-59

-

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BMC Pediatrics

ISSN: 1471-2431

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