Machine learning algorithms for predicting drugs–tissues relationships

作者：

Highlights：

• We propose transfer learning approaches for predicting drug candidates.

• We compare the proposed approaches against existing baseline approaches.

• We conduct experimental results for several prediction tasks of drug candidates.

• Our approaches achieve high and significant performance results over baselines.

摘要

•We propose transfer learning approaches for predicting drug candidates.•We compare the proposed approaches against existing baseline approaches.•We conduct experimental results for several prediction tasks of drug candidates.•Our approaches achieve high and significant performance results over baselines.

论文关键词：Transfer learning,Machine learning,Drug discovery,Drug candidates,Applications in biology and medicine

论文评审过程：Received 15 April 2018, Revised 27 January 2019, Accepted 8 February 2019, Available online 22 February 2019, Version of Record 16 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.013