Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

@article{Leung2016MachineLI,
  title={Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets},
  author={Michael K. K. Leung and Andrew Delong and Babak Alipanahi and Brendan J. Frey},
  journal={Proceedings of the IEEE},
  year={2016},
  volume={104},
  pages={176-197}
}
In this paper, we provide an introduction to machine learning tasks that address important problems in genomic medicine. One of the goals of genomic medicine is to determine how variations in the DNA of individuals can affect the risk of different diseases, and to find causal explanations so that targeted therapies can be designed. Here we focus on how machine learning can help to model the relationship between DNA and the quantities of key molecules in the cell, with the premise that these… 

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