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

gs_positives.csv: The re-processed version of DrugCentral indications, utilized as training and testing positives in the analysis. top_5000_predictions.csv: The top 5000 drug-disease pairs, by probability, produced by this analysis pipeline. file_info.txt: Information about the column headings in of the two files.

{"references": ["Ursu O, Holmes J, Knockel J, Bologa CG, Yang JJ, Mathias SL, et al. DrugCentral: online drug compendium. Nucleic Acids Res. 2017;45 Database issue:D932\u20139"]}

Related Organizations

Scripps Research Institute
United States

Keywords

Machine Learning, Compound Repositioning, Drug Central, Heterogeneous Network, Semantic Medline Database, Unified Medical Language System, Semantic Network

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