RepCOOL: computational drug repositioning via integrating heterogeneous biological networks

RepCOOL: computational drug repositioning via integrating heterogeneous biological networks

Abstract Background It often takes more than 10 years and costs more than 1 billion dollars to develop a new drug for a particular disease and bring it to the market. Drug repositioning can significantly reduce costs and time in drug development. Recently, computational drug repositioning attracted...

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Bibliographic Details
Main Authors: Ghazale Fahimian, Javad Zahiri, Seyed Shahriar Arab, Reza H. Sajedi
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Journal of Translational Medicine
Subjects:
Drug repositioning
Drug-diseases interaction
Biological network
Network integration
Machine learning
Breast cancer
Online Access:http://link.springer.com/article/10.1186/s12967-020-02541-3

Internet

http://link.springer.com/article/10.1186/s12967-020-02541-3

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