Article
The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes.
Proceedings of the National Academy of Sciences of the United States of America - 22 Mar 2022
Katori Machiko, Shi Shoi, Ode Koji L, Tomita Yasuhiro, Ueda Hiroki R
Abstract excerpt
SignificanceHuman sleep phenotypes are diversified by genetic and environmental factors, and a quantitative classification of sleep phenotypes would lead to the advancement of biomedical mechanisms underlying human sleep diversity. To achieve that, a pipeline of data analysis, including a state-of-the-art sleep/wake classification algorithm, the uniform manifold approximation and projection (UMAP) dimension...
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