Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network

Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network

Abstract Background Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics. However, even with these advances, the number of compounds successfu...

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Bibliographic Details
Main Authors: Michael Mayers, Tong Shu Li, Núria Queralt-Rosinach, Andrew I. Su
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Heterogeneous network
Semantic Medline database
Semantic network
Unified medical language system
Drug central
Compound repositioning
Online Access:https://doi.org/10.1186/s12859-019-3297-0

Internet

https://doi.org/10.1186/s12859-019-3297-0

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