Fig. 2: Cancer-type specific networks. | Nature Communications

Fig. 2: Cancer-type specific networks.

From: Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies

Fig. 2

Genomic features are illustrated in blue, blood and bone marrow values in red and demographic variables in grey. The node size for mutations and cytogenetic variables corresponds to their frequency within each cluster, with more frequent variables appearing as larger nodes. In contrast, the node size of continuous variables, like PB blast counts, gets larger when the values of those variables are higher. Directed edges signify the deduced direction of probabilistic (conditional) dependency, while undirected edges denote instances where this could not be determined. Solid edges represent positive correlation while dashed edges represent negative correlation. Displayed are the most frequent and interconnected variables; the full networks can be found in Supplementary Fig. S1. AML acute myeloid leukemia, CMML chronic myelomonocytic leukemia, MDS myelodysplastic syndromes, MPN myeloproliferative neoplasms. AMC absolute monocyte count, ANC absolute neutrophil count, BM bone marrow, HGB hemoglobin, PB peripheral blood, PLT platelet, WBC white blood count. Source data are provided as a Source Data file.

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