Extraction and prediction of biomedical database identifier using neural networks towards data network construction

EXECUTIVE SUMMARY Knowledge found in biomedical databases is a major bioinformatics resource. In general, this biological knowledge is represented worldwide in a network of thousands of databases, which overlap in content, but differ substantially with respect to content detail, interface, formats, and data structure. To support a functional annotation of lab data, such as protein sequences, metabolites, or DNA sequences, as well as a semi-automated data exploration in information retrieval environments , an integrated view to databases is essential. A prerequisite of supporting the concept of an integrated data view is to acquire insights into cross-references among database entities.

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