Next-Generation Machine Learning for Biological Networks.
Cell
; 173(7): 1581-1592, 2018 06 14.
Article
em En
| MEDLINE
| ID: mdl-29887378
ABSTRACT
Machine learning, a collection of data-analytical techniques aimed at building predictive models from multi-dimensional datasets, is becoming integral to modern biological research. By enabling one to generate models that learn from large datasets and make predictions on likely outcomes, machine learning can be used to study complex cellular systems such as biological networks. Here, we provide a primer on machine learning for life scientists, including an introduction to deep learning. We discuss opportunities and challenges at the intersection of machine learning and network biology, which could impact disease biology, drug discovery, microbiome research, and synthetic biology.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Aprendizado de Máquina
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Estados Unidos