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pro vyhledávání: '"Leo Wang-Kit Cheung"'
Autor:
Leo Wang-Kit Cheung
Publikováno v:
Journal of Computational Biology. 11:107-124
In this article, the use of the finite Markov chain imbedding (FMCI) technique to study patterns in DNA under a hidden Markov model (HMM) is introduced. With a vision of studying multiple runs-related statistics simultaneously under an HMM through th
Publikováno v:
Journal of Obstetric, Gynecologic & Neonatal Nursing. 30:192-201
Objective To compare the perception of risk of women with complicated and uncomplicated pregnancies and to determine the relationship between biomedical, psychosocial, and demographic risk factors and women's personal perceptions of pregnancy risk. D
Autor:
Leo Wang Kit Cheung, Pietro Tonino, Laurie M Lomasney, Melissa Neveu, Terrence C. Demos, Nathan Holt Fedors
Publikováno v:
Orthopedics. 36
Patellofemoral instability is related to anatomy. Magnetic resonance imaging (MRI) provides anatomic detail, but spoiled gradient echo (SPGR) imaging during isometric quadriceps contraction provides objective functional data for diagnosing patellofem
Autor:
Leo Wang-Kit, Cheung
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 802
Classification approaches have been developed, adopted, and applied to distinguish disease classes at the molecular level using microarray data. Recently, a novel class of hierarchical probabilistic models based on a kernel-imbedding technique has be
Autor:
Leo Wang-Kit Cheung
Publikováno v:
Next Generation Microarray Bioinformatics ISBN: 9781617793998
Classification approaches have been developed, adopted, and applied to distinguish disease classes at the molecular level using microarray data. Recently, a novel class of hierarchical probabilistic models based on a kernel-imbedding technique has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f2dd98b3ecc3332fee150c281936bf6
https://doi.org/10.1007/978-1-61779-400-1_5
https://doi.org/10.1007/978-1-61779-400-1_5
Autor:
Xin Zhao, Leo Wang-Kit Cheung
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 8(4)
Identifying significant differentially expressed genes of a disease can help understand the disease at the genomic level. A hierarchical statistical model named multiclass kernel-imbedded Gaussian process (mKIGP) is developed under a Bayesian framewo
Autor:
Rachel Novotny, Nicola Davison, Vinutha Vijayadeva, Leo Wang-Kit Cheung, Joel Gittelsohn, Vickie Ramirez, Suzanne P. Murphy
Publikováno v:
Obesity (Silver Spring, Md.). 18
Diet-related chronic diseases are at epidemic levels in low-income ethnic minority populations. The purpose of this study is to decrease risk for obesity in children by modifying the food environment and conducting point-of-purchase promotions that w
Autor:
Leo Wang-Kit Cheung, Suzanne P. Murphy, Rachel Novotny, Donna Lyn M.T. Au, Nicola Davison, Carrie Martin
Publikováno v:
Journal of the American Dietetic Association. 109(5)
To reduce the cost of analyzing dietary data for research studies, we evaluated the accuracy of an entry and assessment system that could be used by trained food and nutrition professionals who did not routinely perform this type of task. We compared
Publikováno v:
Hawaii medical journal. 65(8)
This study investigated the 25-year incidence of childhood cancer in Hawai'i, including sex, age, and ethnic differences and time trends. Leukemia was the most common diagnosis. Japanese in Hawai'i have lower pediatric cancer rates than for the Unite
Publikováno v:
Journal of biomedical informatics. 38(6)
This paper introduces two new probabilistic graphical models for reconstruction of genetic regulatory networks using DNA microarray data. One is an independence graph (IG) model with either a forward or a backward search algorithm and the other one i