Hierarchical clustering of 448 GEO data sets, by treating each as a vector representing the presence or absence of a mapping from that data set to each UMLS concept, then calculating binary distance between data sets and clustering using complete linkage. A total of 6,612 samples are represented in these data sets. The numeral 1 indicates a cluster with 33 data sets all from the Alliance for Cellular Signaling.

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Network of relations between 46 biomedical concepts extracted from the annotations of data sets in Gene Expression Omnibus and 444 genes with differential expression associated with the presence or absence of the concept. Light blue nodes are UMLS concepts. Pink nodes are genes with higher expression levels in data sets annotated with their related concept; light green nodes are genes with lower expression levels in annotated data sets. Pink and green nodes are placed within gray squares indicating ortholog families. Dashed lines between an ortholog family and concept indicate statistically significant relations between that concept and each included family member. Solid arrows indicate existing UMLS concept-concept hierarchical relations.

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