Computational biology: deep learning.
Emerg Top Life Sci
; 1(3): 257-274, 2017 Nov 14.
Article
em En
| MEDLINE
| ID: mdl-33525807
ABSTRACT
Deep learning is the trendiest tool in a computational biologist's toolbox. This exciting class of methods, based on artificial neural networks, quickly became popular due to its competitive performance in prediction problems. In pioneering early work, applying simple network architectures to abundant data already provided gains over traditional counterparts in functional genomics, image analysis, and medical diagnostics. Now, ideas for constructing and training networks and even off-the-shelf models have been adapted from the rapidly developing machine learning subfield to improve performance in a range of computational biology tasks. Here, we review some of these advances in the last 2 years.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Emerg Top Life Sci
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Reino Unido