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 understa...
Main Authors: | Ron C Anafi, Yool Lee, Trey K Sato, Anand Venkataraman, Chidambaram Ramanathan, Ibrahim H Kavakli, Michael E Hughes, Julie E Baggs, Jacqueline Growe, Andrew C Liu, Junhyong Kim, John B Hogenesch |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-04-01
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Series: | PLoS Biology |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24737000/?tool=EBI |
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