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Fig. 3 | BMC Medical Genomics

Fig. 3

From: Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts

Fig. 3

Gene correlation analysis (WGCNA): module eigengenes (listed by row) correlation with clinical factors (by column). Heatmap color is based on absolute Pearson correlation. Legend for p-value significance: '***' 0 < p-value ≤ 0.001; '**' 0.001 < p-value ≤ 0.01; '*' 0.01 < p-value ≤ 0.05; '.' 0.05 < p-value ≤ 0.1; ' ' 0.1 < p-value ≤ 1. Number of genes in each module is shown in parenthesis in row labels

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