Figure 2From: A combined approach to data mining of textual and structured data to identify cancer-related targetsTransfer of entities between two knowledge bases. For LSGraph, PubMed and GO, all extracellular or membrane-bound entities cited in scientific abstracts were exported using UniProt accession numbers into IPA (thick arrow) for each cancer type. For IPA, imported entities were recognized and enlarged by functional neighbors (shaded area) of «Global Analysis Genes» network. All entities with «High Level Function» corresponding to «cancer» (thin arrows) were exported to Microsoft Excel workbook as hit lists for further individual examination (see Additional file 1).Back to article page