Author

S.-Y. Wei

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

A. DiStefano-Forti· 1 shared A. M. Cypess· 1 shared C. Cero· 1 shared C. F. Hsu· 1 shared C. He· 1 shared C.-W. Ju· 1 shared D. F. De Jesus· 1 shared H.-H. Chao· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCell Biology

A. DiStefano-Forti

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2 papers

Recent·Most cited

m6A mRNA Methylation in Brown Adipose Tissue Regulates Systemic Insulin Sensitivity via an Inter-Organ Prostaglandin Signaling Axis

L. Xiao, D. F. De Jesus, C.-W. Ju, J.-B. Wei, J. Hu, A. DiStefano-Forti, T. Tsuji, C. Cero, V. Mannisto, S. M. Manninen, S.-Y. Wei, O. Ijaduola, M. Blueher, A. M. Cypess, J. Pihlajamaki, , R. N. Kulkarni

bioRxiv · May 26, 2023 · PreprintCell Biology

State Change Probability: A Measure of the Complexity of Cardiac RR Interval Time Series Using Physiological State Change with Statistical Hypothesis Testing

H.-H. Chao, H.-P. Huang, S.-Y. Wei, C. F. Hsu, L. Hsu, S. Chi

This paper introduces state change probability (SCP) as a complexity measure for cardiac RR interval time series, showing it outperforms existing methods in evaluating complexity and differentiating healthy from pathological subjects.

bioRxiv · Oct 24, 2019 · PreprintPhysiology