Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform

Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform

Abstract Background The Open Targets (OT) Platform integrates a wide range of data sources on target-disease associations to facilitate identification of potential therapeutic drug targets to treat human diseases. However, due to the complexity that targets are usually functionally pleiotropic and e...

Full description

Bibliographic Details
Main Authors: Yingnan Han, Katherine Klinger, Deepak K. Rajpal, Cheng Zhu, Erin Teeple
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Bioinformatics
Subjects:
Open targets
Drug discovery
Machine learning
XGBoost
Target indication expansion
Drug repurposing
Online Access:https://doi.org/10.1186/s12859-022-04753-4

Internet

https://doi.org/10.1186/s12859-022-04753-4

Similar Items