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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2014
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC3988006/
https://ncbi.nlm.nih.gov/pubmed/24737000
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pbio.1001840
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