Machine learning prediction of oncology drug targets based on protein and network properties

Machine learning prediction of oncology drug targets based on protein and network properties

Abstract Background The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make in-silico target identification, reducing the cost and the time needed. Resu...

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Bibliographic Details
Main Authors: Zoltán Dezső, Michele Ceccarelli
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Drug target prioritization
Network analysis
Online Access:http://link.springer.com/article/10.1186/s12859-020-3442-9

Internet

http://link.springer.com/article/10.1186/s12859-020-3442-9

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