TIN-X: target importance and novelty explorer
Research output: Contribution to journal › Journal article › peer-review
- TIN-X: target importance and novelty explorer
Final published version, 266 KB, PDF document
Motivation: The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins.
Results: We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association between proteins and diseases, based on text mining data processed from scientific literature. In the current implementation, TIN-X supports exploration of data for G-protein coupled receptors, kinases, ion channels, and nuclear receptors. TIN-X supports browsing and navigating across proteins and diseases based on ontology classes, and displays a scatter plot with two proposed new bibliometric statistics: Importance and Novelty.
Availability and Implementation: http://www.newdrugtargets.org.
|Number of pages||3|
|Publication status||Published - 15 Aug 2017|
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