Reverse engineering highlights potential principles of large gene regulatory network design and learning
Gene Regulatory Networks: design and learning principles This work by Carré et al addresses central questions in biology, which are: how very large gene regulatory networks (GRNs) are organized, generate stable gene expression, and can be learnt using machine learning algorithms? In this work author...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b2ff80f10af5488bad23cb20ccd83369 |
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