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Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome

CITE Title : Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome Personal Author(s) : Bhattacharjee, Madhuchhanda;Rajeevan, Mangalathu S.;Sillanpää, Mikko J.; Published Date : Jun 11 2015 Source : Hum Genomics. 9(1). URL : https://stacks.cdc.gov/view/cdc/31720 Bhattacharjee, Madhuchhanda et al. (2015). Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome. 9(1). Bhattacharjee, Madhuchhanda and Rajeevan, Mangalathu S. and Sillanpää, Mikko J. "Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome" 9, no. 1 (2015) Bhattacharjee, Madhuchhanda et al. "Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome" vol. 9, no. 1, 2015 Export RIS Citation Information.

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Bhattacharjee, Madhuchhanda ;

Rajeevan, Mangalathu S.

Jun 11 2015 | Hum Genomics. 9(1).

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BackgroundThe current practice of using only a few strongly associated genetic markers in regression models results in generally low power in predicti...
Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats

CITE Title : Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats Personal Author(s) : Sweeney, Lisa M.;MacCalman, Laura;Haber, Lynne T.;Kuempel, Eileen D.;Tran, C. Lang; Published Date : Jul 03 2015 Source : Regul Toxicol Pharmacol. 73(1):151-163. URL : https://stacks.cdc.gov/view/cdc/35102 Sweeney, Lisa M. et al. (2015). Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats. 73(1). Sweeney, Lisa M. et al. "Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats" 73, no. 1 (2015) Sweeney, Lisa M. et al. "Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats" vol. 73, no. 1, 2015 Export RIS Citation Information.

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Sweeney, Lisa M. ;

MacCalman, Laura

Jul 03 2015 | Regul Toxicol Pharmacol. 73(1):151-163.

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Biomathematical modeling quantitatively describes the disposition of metal nanoparticles in lungs and other organs of rats. In a preliminary model, ad...
Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners

CITE Title : Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners Personal Author(s) : Sweeney, Lisa M.;Parker, Ann;Haber, Lynne T.;Tran, C. Lang;Kuempel, Eileen D.; Published Date : Feb 27 2013 Source : Regul Toxicol Pharmacol. 66(1):47-58. URL : https://stacks.cdc.gov/view/cdc/36810 Sweeney, Lisa M. et al. (2013). Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners. 66(1). Sweeney, Lisa M. et al. "Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners" 66, no. 1 (2013) Sweeney, Lisa M. et al. "Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners" vol. 66, no. 1, 2013 Export RIS Citation Information.

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Sweeney, Lisa M. ;

Parker, Ann

Feb 27 2013 | Regul Toxicol Pharmacol. 66(1):47-58.

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A biomathematical model was previously developed to describe the long-term clearance and retention of particles in the lungs of coal miners. The model...
Timing the Origin of Cryptococcus gattii sensu stricto, Southeastern United States

CITE Title : Timing the Origin of Cryptococcus gattii sensu stricto, Southeastern United States Personal Author(s) : Lockhart, Shawn R.;Roe, Chandler C.;Engelthaler, David M.; Published Date : November 2018 Source : Emerg Infect Dis. 24(11):2095-2097 URL : https://stacks.cdc.gov/view/cdc/60368 Lockhart, Shawn R. et al. (2018). Timing the Origin of Cryptococcus gattii sensu stricto, Southeastern United States. 24(11). Lockhart, Shawn R. and Roe, Chandler C. and Engelthaler, David M. "Timing the Origin of Cryptococcus gattii sensu stricto, Southeastern United States" 24, no. 11 (2018) Lockhart, Shawn R. et al. "Timing the Origin of Cryptococcus gattii sensu stricto, Southeastern United States" vol. 24, no. 11, 2018 Export RIS Citation Information.

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Lockhart, Shawn R. ;

Roe, Chandler C.

November 2018 | Emerg Infect Dis. 24(11):2095-2097

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We conducted molecular clock analysis of whole-genome sequences from a set of autochthonous isolates of Cryptococcus gattii sensu stricto from the sou...