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©The Author(s) 2022.
World J Clin Cases. Jun 26, 2022; 10(18): 5984-6000
Published online Jun 26, 2022. doi: 10.12998/wjcc.v10.i18.5984
Published online Jun 26, 2022. doi: 10.12998/wjcc.v10.i18.5984
Figure 1 Identification of differentially expressed genes and Weighted Gene Co-expression Network Analysis.
A: The differentially expressed genes analyzed in The Cancer Genome Atlas dataset. Top 30 upregulated and downregulated genes are shown; B and C: Soft-threshold power analysis revealed the scale-free fit index and the mean connectivity of network topology; D: Hierarchical cluster analysis of the coexpression module based on the dissimilarity measurement; E: Sample clustering based on expression data used to detect the outliers; F: Dendrogram of consensus module eigen genes. Groups of eigen genes below the red line merged owing to their similarity; G: The topological overlap matrix heatmap showing the overlap between the co-expression genes.
- Citation: Zhong C, Liang Y, Wang Q, Tan HW, Liang Y. Construction and validation of a novel prediction system for detection of overall survival in lung cancer patients. World J Clin Cases 2022; 10(18): 5984-6000
- URL: https://www.wjgnet.com/2307-8960/full/v10/i18/5984.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i18.5984