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Building on the maps and networks, the system provides specific functionalities including identification of technology trends and significant patents, detection of novel technologies, and identification of potential infringement.
However, the results show that no new maps or networks become significant for larger sets and moreover, significance of previously identified maps and networks steadily declines as more random genes are added.
Of the remaining 50 IDs, 35 had links to MetaCore maps and networks and were used in our analysis.
This is undoubtedly an oversimplification and the approach will need to be refined as more sophisticated molecular interaction maps and networks are developed (Pommier et al, 2004).
Thirty five out of 49 glaucoma-enriched and 12 out of 32 normal-enriched proteins matched the objects on MetaCore maps and networks (see Additional File 1, Supplement Table S6) and their corresponding genes were expressed in ONHAs.
The Agilent Identification numbers of selected genes were then uploaded and analysed using the MetaCore software program Enrichment Analysis (EA) for Datasets: Enrichment analysis consists of mapping gene IDs of the dataset(s) of interest onto gene IDs in entities (terms) of built-in functional ontologies represented in MetaCore™/MetaDrug™ by pathway maps and networks.
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Concept maps and network visualizations are presented to illustrate salient patterns and emerging thematic trends.
Bibliometric maps and network visualization techniques using VOSviewer software (van Eck and Waltman 2010) will be employed to shed the light on the most topics of concern.
Heat maps and network graphs are used to graphically represent the correlations within each group.
A detailed legend for MetaCore pathway maps and network objects is shown in Additional file 5.
The link between network maps and network model is realised in CNA by text boxes, which are small user interfaces, each associated to one network element.
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