I had a wonderful time working on my new survey paper about machine learning for integrating data in biology and medicine. This paper is especially suitable for computational researchers who are curious about recent developments and applications of machine learning to biology and medicine and its potential for advancing biomedicine given the vast amounts of heterogeneous data being generated today.
In this review, we describe the principles of data integration and discuss current methods and available implementations. We provide examples of successful data integration in biology and medicine. We also discuss current challenges in biomedical integrative methods and our perspective on the future development of the field.
