Research Paper Volume 16, Issue 8 pp 6954—6989

Identification of a robust biomarker LAPTM4A for glioma based on comprehensive computational biology and experimental verification


Figure 1. Identification of the key gene modules in WGCNA. (A) The volcano map showed differentially expressed genes. (B) Determination of the soft-thresholding power. (C) Dendrogram of differentially expressed genes clustered based on a dissimilarity measure (1-TOM). (D) The correlation of gene modules with clinical traits. (E) Gene correlation scatter plot of the turquoise module. (F) The 1-, 3-, and 5-years ROC for the top ten genes. (G) Comparison of the clinical significance of LAPTM4A and RP2.