Machine Learning Helps Identify CHRONO as a Circadian Clock Component

Over the last decades, researchers have characterized a set of “clock genes” that drive daily rhythms in physiology and behavior. This arduous work has yielded results with far-reaching consequences in metabolic, psychiatric, and neoplastic disorders. Recent attempts to expand our understanding of c...

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Detalles Bibliográficos
Autores principales: Anafi, Ron C., Lee, Yool, Sato, Trey K., Venkataraman, Anand, Ramanathan, Chidambaram, Kavakli, Ibrahim H., Hughes, Michael E., Baggs, Julie E., Growe, Jacqueline, Liu, Andrew C., Kim, Junhyong, Hogenesch, John B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988006/
https://www.ncbi.nlm.nih.gov/pubmed/24737000
http://dx.doi.org/10.1371/journal.pbio.1001840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988006/
https://www.ncbi.nlm.nih.gov/pubmed/24737000
http://dx.doi.org/10.1371/journal.pbio.1001840

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