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. 2024 Feb 26;46(3):1777–1798. doi: 10.3390/cimb46030117

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© 2024 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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A module-trait heatmap is a visual representation of the correlations between the expression levels of genes in each module and different clinical and pathological traits. The heatmap is generated by calculating the Pearson correlation coefficient (PCC), also known as the eigengene significance, between the expression levels of genes in each module and each trait. The PCCs are then color coded, with red representing positive correlations and green representing negative correlations. The darker the color, the stronger the correlation. (Each box displays a correlation value above and a corresponding p-value in parentheses below.).