[Retracted] The Identification and Clinical Value Evaluation of CYCS Related to Asthma through Bioinformatics Analysis and Functional Experiments

<div>WGCNA analysis of DEGs in the GSE64913 dataset. (a) Sample clustering to detect outliers. (b) Scale-free topology model (top) and average connectivity (bottom) for finding the soft-threshold capability. Power is 20. (c) Hierarchical dendrogram showing coexpression modules recognized by WGCNA. Each leaf on the tree represents a gene. The main tree is divided into 7 modules according to the eigengene calculations, and each module is highlighted with a different color. (d) Clustering of all modules. (e) Heat map showing the relationship between different modules and clinical features.</div>

Disease Markers

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Figure 2: [Retracted] The Identification and Clinical Value Evaluation of CYCS Related to Asthma through Bioinformatics Analysis and Functional Experiments 

Figure 2 | [Retracted] The Identification and Clinical Value Evaluation of CYCS Related to Asthma through Bioinformatics Analysis and Functional Experiments 