add a new review article published on Briefings in Bioinformatics (#14)

README.md

@@ -34,6 +34,8 @@ You might also want to refer to the [awesome deepbio](https://github.com/gokcene
 
 These are not implementations as such, but contain useful pointers. Because review papers in this field are more time-sensitive, I have added the month of journal publication. Note that the original preprint may in some cases have been available online long before the published version.
 
+**(2019-12) Deep learning of pharmacogenomics resources: moving towards precision oncology** [[Briefings in Bioinformatics](https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz144/5669856#186956080)]
+
 **(2019-04) Deep learning: new computational modelling techniques for genomics** [[Nature Reviews Genetics paper](https://www.nature.com/articles/s41576-019-0122-6)]
 
 This is a very nice conceptual review of how deep learning can be used in genomics. It explains how convolutional networks, recurrent networks, graph convolutional networks, autoencoders and GANs work. It also explains useful concepts like multi-modal learning, transfer learning, and model explainability.