Deep learning for computational biology
European Bioinformatics Institute · Wellcome Trust · +2 more institutions
Abstract
Technological advances in genomics and imaging have led to an explosion of molecular and cellular profiling data from large numbers of samples. This rapid increase in biological data dimension and acquisition rate is challenging conventional analysis strategies. Modern machine learning methods, such as deep learning, promise to leverage very large data sets for finding hidden structure within them, and for making accurate predictions. In this review, we discuss applications of this new breed of analysis approaches in regulatory genomics and cellular imaging. We provide background of what deep learning is, and the settings in which it can be successfully applied to derive biological insights. In addition to…
Citation impact
- FWCI
- 238.33
- Percentile
- 100%
- References
- 143
Authors
4Topics & keywords
- Biology
- Computational biology
- Systems biology