Research Article

The Identification of Childhood Asthma Progression-Related lncRNAs and mRNAs Suitable as Biomarkers Using Weighted Gene Coexpression Network Analysis

Table 1

Evaluation of each module identified by WGCNA and the module information obtained by hypergeometric algorithm.

IDColorModule sizePreservationNumber of DERsEnrichment
Z-score valueEnrichment fold (95% CI)Phyper

Module 1Black2296.13624.50E − 04141.408 [1.146–2.458]2.51E − 02
Module 2Blue9170.86001.40E − 02180.452 [0.262–0.734]4.75E − 04
Module 3Brown48220.11601.80E − 30150.716 [0.392–1.218]2.38E − 01
Module 4Green3077.80275.00E − 0330.225 [0.0458–0.672]2.50E − 03
Module 5Grey12740.55618.10E − 12841.518 [1.161–1.969]1.82E − 03
Module 6Magenta1553.41546.70E − 0110.149 [0.00373–0.848]2.16E − 02
Module 7Pink18623.91282.40E − 2091.114 [0.496–2.198]7.15E − 01
Module 8Purple1404.88376.60E − 0110.165 [0.00412–0.940]3.09E − 02
Module 9Red3024.18971.50E − 0110.0763 [0.00192–0.432]1.06E − 04
Module 10Turquoise127026.97354.90E − 125380.689 [0.473–0.979]3.35E − 02
Module 11Yellow31114.40934.90E − 14584.293 [3.096–5.881]2.20E − 16