Identification of Biomarkers Associated with Cancerous Change in Oral Leukoplakia Based on Integrated Transcriptome Analysis

Figure 3

Sample clustering, and no outlier samples are generated (a). The relationship between the scale-free topology model fit and the soft threshold (b). The relationship between mean connectivity and soft threshold (c). Gene coexpression module construction, Dynamic Module is the result of the premerged module, and Merged Module is the result of the merged module (d). Heat map of the correlation between the module and the clinical phenotype (e), red represents positive correlation, and blue represents negative correlation. The relationship between the GS and the MM of the red module gene (f-i). The relationship of normal (f). The relationship of OLK (g). The relationship of OSCC (h). The relationship of status (i). The gene expression level of the module eigengene of the red module in each sample (j), the abscissa is the sample, the ordinate is the gene expression in the red module, red represents high expression, green represents low expression, the top is the heat map, and the bottom is each module eigengene of the red module in the sample.

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