High-throughput experimental technologies can generate large data sets of cell-type-specific information, allowing the study of multicellular complexity. This Review discusses machine learning approaches, in particular, deep learning and network-based models, which can be applied to analyse, interpret and model these data sets.
- Rachel S. G. Sealfon
- Aaron K. Wong
- Olga G. Troyanskaya
