Zobrazeno 1 - 10 of 134 pro vyhledávání: '"Wai-Sum Chan"'
1
Akademický článek
Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Autor: Lingkuan Meng, Wai-Sum Chan, Lei Huang, Linjing Liu, Xingjian Chen, Weitong Zhang, Fuzhou Wang, Ke Cheng, Hongyan Sun, Ka-Chun Wong
Publikováno v: Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 3522-3532 (2022)
Post-translational modifications (PTMs) are closely linked to numerous diseases, playing a significant role in regulating protein structures, activities, and functions. Therefore, the identification of PTMs is crucial for understanding the mechanisms
Externí odkaz: https://doaj.org/article/b75afcb049844fdd840c044c0449189d
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2
Akademický článek
Development of a Three-Dimensional Carotid Ultrasound Image Segmentation Workflow for Improved Efficiency, Reproducibility and Accuracy in Measuring Vessel Wall and Plaque Volume and Thickness
Autor: Yuan Zhao, Mingjie Jiang, Wai Sum Chan, Bernard Chiu
Publikováno v: Bioengineering, Vol 10, Iss 10, p 1217 (2023)
Automated segmentation of carotid lumen-intima boundary (LIB) and media-adventitia boundary (MAB) by deep convolutional neural networks (CNN) from three-dimensional ultrasound (3DUS) images has made assessment and monitoring of carotid atherosclerosi
Externí odkaz: https://doaj.org/article/61fab318e13c49ef902c363c94cbd501
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7
Backcasting Mortality in England and Wales, 1600–1840
Autor: Wai-Sum Chan, Di Wang
Publikováno v: North American Actuarial Journal. 26:102-122
There have been significant developments in using extrapolative stochastic models for mortality forecasting (forward projection) in the literature. However, little attention has been devoted to mor...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ddf8f2a10c1a1e5a5b9566a64169edc9
https://doi.org/10.1080/10920277.2020.1853574
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8
Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm’s bond ratings
Autor: Maozai Tian, Yuzhu Tian, Man-Lai Tang, Wai-Sum Chan
Publikováno v: Computational Statistics. 36:1289-1319
Empirical studies in various fields, such as clinical trials, environmental sciences, psychology, as well as finance and economics, often encounter the task of conducting statistical inference for longitudinal data with ordinal responses. In such sit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6fac818992cbbfba3a3b22d1fdf63a3c
https://doi.org/10.1007/s00180-020-01037-4
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9
Developing an Optimal Strategy for a Maximization Dice Game
Autor: Kevin L.T. Chan, Wai-Sum Chan
Publikováno v: The College Mathematics Journal. 50:272-279
Many dice games have been used to illustrate basic probability concepts in college mathematics and statistics classrooms (see, for example, [1, 5]). There has been growing interest in developing op...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf2e1ddd513ab0eb98abbe9f2f5c72e4
https://doi.org/10.1080/07468342.2019.1632662
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10
A Bayesian Approach to Developing a Stochastic Mortality Model for China
Autor: Johnny Siu-Hang Li, Felix Wai Hon Chan, Xiaobai Zhu, Wai-Sum Chan, Kenneth Q. Zhou
Publikováno v: Journal of the Royal Statistical Society Series A: Statistics in Society. 182:1523-1560
Summary Stochastic mortality models have a wide range of applications. They are particularly important for analysing Chinese mortality, which is subject to rapid and uncertain changes. However, owing to data-related problems, stochastic modelling of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58ac5a70f2e142a305cc9edb04926cbe
https://doi.org/10.1111/rssa.12473
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