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Fig. 7 | BMC Medical Genomics

Fig. 7

From: A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes

Fig. 7

Gene modules and coexpression network. (a) Correlation analysis between module eigengenes and clinical status in control and COPD groups. (b) Correlation analysis between module eigengenes and clinical status in the two clusters. Each row represents a module; each column represents a clinical status. (c) Identification of the intersected genes of disease WGCNA and cluster-WGCNA

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