Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Elizabeth J. McGuffey"'
Publikováno v:
Annals of the American Thoracic Society
Ann Am Thorac Soc
Ann Am Thorac Soc
Rationale: Sleep-disordered breathing (SDB) occurring primarily during rapid eye movement (REM) sleep is a common clinical problem. The natural history of REM-related SDB and the associated cardiovascular sequelae of disease progression remain to be
Publikováno v:
Involve 13, no. 1 (2020), 77-89
This paper introduces an independent-proposal Metropolis–Hastings sampler for Bayesian probit regression. The Gibbs sampler of Albert and Chib has been the default sampler since its introduction in 1993. We conduct a simulation study comparing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e15de23c86fc01b0ade9a5477f750e7e
https://projecteuclid.org/euclid.involve/1584669667
https://projecteuclid.org/euclid.involve/1584669667
Publikováno v:
American journal of medical genetics. Part C, Seminars in medical geneticsREFERENCES. 184(1)
Sudden cardiac death (SCD) is one of the leading causes of mortality in the U.S. military and competitive athletes. In this study, we simulate how genetic screening may be implemented in the military to prevent an SCD endpoint resulting from hypertro
Autor:
Dipen M. Maru, Michael S. Lee, Jeffrey S. Morris, Ganiraju C. Manyam, Veerabahdran Baladandayuthapani, Elizabeth J. McGuffey, Scott Kopetz, Wei Wei, Zhi-Qin Jiang, Stanley R. Hamilton, Van K. Morris, Michael J. Overman
Publikováno v:
British Journal of Cancer
Background: High EREG and AREG expression, and left-sided primary tumours are associated with superior efficacy of anti-epidermal growth factor receptor (EGFR) therapy in metastatic colorectal cancer (CRC), but a unifying explanation of these finding
Autor:
Jeffrey S. Morris, Elizabeth J. McGuffey, Veerabhadran Baladandayuthapani, Raymond J. Carroll, Ganiraju C. Manyam
© Cambridge University Press 2015. We present hierarchical Bayesian models to integrate an arbitrary number of genomic data platforms incorporating known biological relationships between platforms, with the goal of identifying biomarkers significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a3358081228da3d8034620d485201e3
https://hdl.handle.net/10453/120011
https://hdl.handle.net/10453/120011
Autor:
Foroughi, Siavash1,2 (AUTHOR), Hutchinson, Ryan A.3,4,5 (AUTHOR), Wong, Hui-li1,2,6 (AUTHOR), Christie, Michael1,7 (AUTHOR), Batrouney, Ahida7 (AUTHOR), Wong, Rachel1,2,8,9 (AUTHOR), Lee, Margaret1,2,8,9,10 (AUTHOR), Tie, Jeanne1,2,6,10 (AUTHOR), Burgess, Antony Wilks1,2,11 (AUTHOR), Gibbs, Peter1,2,10 (AUTHOR)
Publikováno v:
Growth Factors. Jun-Jul2020, Vol. 38 Issue 3/4, p127-136. 10p.
Autor:
Leroux, Andrew, Di, Junrui, Smirnova, Ekaterina, Mcguffey, Elizabeth J, Cao, Quy, Bayatmokhtari, Elham, Tabacu, Lucia, Zipunnikov, Vadim, Urbanek, Jacek K, Crainiceanu, Ciprian
Publikováno v:
Statistics in Biosciences; Jul2019, Vol. 11 Issue 2, p262-287, 26p
In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spe