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pro vyhledávání: '"Dai, James Y."'
Detecting and assessing statistical significance of differentially methylated regions (DMRs) is a fundamental task in methylome association studies. While the average differential methylation in different phenotype groups has been the inferential foc
Externí odkaz:
http://arxiv.org/abs/2306.15032
Autor:
Dai, James Y., Chen, Heng, Wang, Xiaoyu, Sun, Wei, Huang, Ying, Grady, William M., Feng, Ziding
Cancer development is associated with aberrant DNA methylation, including increased stochastic variability. Statistical tests for discovering cancer methylation biomarkers have focused on changes in mean methylation. To improve the power of detection
Externí odkaz:
http://arxiv.org/abs/2306.14826
Heterogeneous treatment effects (HTE) based on patients' genetic or clinical factors are of significant interest to precision medicine. Simultaneously modeling HTE and corresponding main effects for randomized clinical trials with high-dimensional pr
Externí odkaz:
http://arxiv.org/abs/2302.01367
Akademický článek
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Publikováno v:
Journal of Medical Screening; Sep2024, Vol. 31 Issue 3, p140-149, 10p
Autor:
Karlsson, Questa, Brook, Mark N., Dadaev, Tokhir, Wakerell, Sarah, Saunders, Edward J., Muir, Kenneth, Neal, David E., Giles, Graham G., MacInnis, Robert J., Thibodeau, Stephen N., McDonnell, Shannon K., Cannon-Albright, Lisa, Teixeira, Manuel R., Paulo, Paula, Cardoso, Marta, Huff, Chad, Li, Donghui, Yao, Yu, Scheet, Paul, Permuth, Jennifer B., Stanford, Janet L., Dai, James Y., Ostrander, Elaine A., Cussenot, Olivier, Cancel-Tassin, Géraldine, Hoegel, Josef, Herkommer, Kathleen, Schleutker, Johanna, Tammela, Teuvo L.J., Rathinakannan, Venkat, Sipeky, Csilla, Wiklund, Fredrik, Grönberg, Henrik, Aly, Markus, Isaacs, William B., Dickinson, Jo L., FitzGerald, Liesel M., Chua, Melvin L.K., Nguyen-Dumont, Tu, Schaid, Daniel J., Southey, Melissa C., Eeles, Rosalind A., Kote-Jarai, Zsofia *
Publikováno v:
In European Urology Oncology August 2021 4(4):570-579
Autor:
Dai, James Y., LeBlanc, Michael
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2019 Jan 01. 68(5), 1371-1391.
Externí odkaz:
https://www.jstor.org/stable/26820918
Publikováno v:
Biometrics, 2018 Dec 01. 74(4), 1341-1350.
Externí odkaz:
https://www.jstor.org/stable/45092999
Publikováno v:
Statistical Science 2009, Vol. 24, No. 4, 472-488
Genome-wide association studies, in which as many as a million single nucleotide polymorphisms (SNP) are measured on several thousand samples, are quickly becoming a common type of study for identifying genetic factors associated with many phenotypes
Externí odkaz:
http://arxiv.org/abs/1010.4686
Akademický článek
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