Lieberman, M., Taheri, S., Guo, H., Mir-Rashed, F., Yahav, I., Aris, A., Shneiderman, B.
Published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (March/April 2011). [Published Version]
Though biomedical research often draws on knowledge
from a wide variety of fields, few visualization methods
for biomedical data incorporate meaningful cross-database exploration.
A new approach is offered for visualizing and exploring
a query-based subset of multiple heterogeneous biomedical
databases. Databases are modeled as an entity-relation graph
containing nodes (database records) and links (relationships
between records). Users specify a keyword search string
retrieve an initial set of nodes, and then explore intra- and interdatabase
links. Results are visualized with user-defined semantic
substrates to take advantage of the rich set of attributes usually
present in biomedical data. Comments from domain experts
indicate that this visualization method is potentially advantageous
for biomedical knowledge exploration.
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