Skip to main content
Fig. 2 | BMC Medical Genomics

Fig. 2

From: Multivariate transcriptome analysis identifies networks and key drivers of chronic lymphocytic leukemia relapse risk and patient survival

Fig. 2

Cluster dendrogram of module eigengenes detected based on dissimilarity in WGCNA. There were 13 modules identified within the CLL patient gene expression data. WGCNA determined dissimilarities between modules by calculating correlations of gene expression patterns across all patient samples and clinical traits clinical traits (i.e., Relapse Interval, Relapse, Gender, Chemotherapy, Age at Diagnosis, Survival Time in Days, Binet Stage A, and IGHV Mutated)

Back to article page