Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing

Abstract Background The circadian system is responsible for regulating various physiological activities and behaviors and has been gaining recognition. The circadian rhythm is adjusted in a 24-h cycle and has transcriptional–translational feedback loops. When the circadian rhythm is interrupted, aff...

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Bibliografische gegevens
Hoofdauteurs: Nai-Wei Hsu, Kai-Chen Chou, Yu-Ting Tina Wang, Chung-Lieh Hung, Chien-Feng Kuo, Shin-Yi Tsai
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2022-04-01
Reeks:Journal of Translational Medicine
Onderwerpen:
Circadian rhythm
Metabolic syndrome
Whole-genome sequencing
Deep learning
Online toegang:https://doi.org/10.1186/s12967-022-03379-7
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