Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs
In this study, we report on the performance of an automated approach to discovery of potential prostate cancer drugs from the biomedical literature. We used the semantic relationships in SemMedDB, a database of structured knowledge extracted from all MEDLINE citations using SemRep, to extract potent...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2014-01-01
|
Series: | Cancer Informatics |
Online Access: | https://doi.org/10.4137/CIN.S13889 |