Reverse engineering highlights potential principles of large gene regulatory network design and learning

Inferring transcriptional gene regulatory networks from transcriptomic datasets is a key challenge of systems biology, with potential impacts ranging from medicine to agronomy. There are several techniques used presently to experimentally assay transcription factors to target relationships, defining...

Descripción completa

Detalles Bibliográficos
Autores principales: Carré, Clément, Mas, André, Krouk, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481436/
https://www.ncbi.nlm.nih.gov/pubmed/28649444
http://dx.doi.org/10.1038/s41540-017-0019-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481436/
https://www.ncbi.nlm.nih.gov/pubmed/28649444
http://dx.doi.org/10.1038/s41540-017-0019-y

Ejemplares similares