Lin YT - Search Results

1

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit.

Neumann J, Lin YT, Mallela A, Miller EF, Colvin J, Duprat AT, Chen Y, Hlavacek WS, Posner RG. Neumann J, et al. Among authors: lin yt. Bioinformatics. 2022 Mar 4;38(6):1770-1772. doi: 10.1093/bioinformatics/btac004. Bioinformatics. 2022. PMID: 34986226 Free PMC article.

2

Generalizing Gillespie's Direct Method to Enable Network-Free Simulations.

Suderman R, Mitra ED, Lin YT, Erickson KE, Feng S, Hlavacek WS. Suderman R, et al. Among authors: lin yt. Bull Math Biol. 2019 Aug;81(8):2822-2848. doi: 10.1007/s11538-018-0418-2. Epub 2018 Mar 28. Bull Math Biol. 2019. PMID: 29594824 Free PMC article.

3

Using Equation-Free Computation to Accelerate Network-Free Stochastic Simulation of Chemical Kinetics.

Lin YT, Chylek LA, Lemons NW, Hlavacek WS. Lin YT, et al. J Phys Chem B. 2018 Jun 21;122(24):6351-6356. doi: 10.1021/acs.jpcb.8b02960. Epub 2018 Jun 8. J Phys Chem B. 2018. PMID: 29851484 Free PMC article.

4

Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor.

Erickson KE, Rukhlenko OS, Shahinuzzaman M, Slavkova KP, Lin YT, Suderman R, Stites EC, Anghel M, Posner RG, Barua D, Kholodenko BN, Hlavacek WS. Erickson KE, et al. Among authors: lin yt. PLoS Comput Biol. 2019 Jan 17;15(1):e1006706. doi: 10.1371/journal.pcbi.1006706. eCollection 2019 Jan. PLoS Comput Biol. 2019. PMID: 30653502 Free PMC article.

5

Prediction of Optimal Drug Schedules for Controlling Autophagy.

Shirin A, Klickstein IS, Feng S, Lin YT, Hlavacek WS, Sorrentino F. Shirin A, et al. Among authors: lin yt. Sci Rep. 2019 Feb 5;9(1):1428. doi: 10.1038/s41598-019-38763-9. Sci Rep. 2019. PMID: 30723233 Free PMC article.

6

Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks.

Lin YT, Feng S, Hlavacek WS. Lin YT, et al. J Chem Phys. 2019 Jun 28;150(24):244101. doi: 10.1063/1.5096774. J Chem Phys. 2019. PMID: 31255063 Free PMC article.

7

Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification.

Lin YT, Neumann J, Miller E, Posner RG, Mallela A, Safta C, Ray J, Thakur G, Chinthavali S, Hlavacek WS. Lin YT, et al. ArXiv [Preprint]. 2020 Jul 20:arXiv:2007.12523v1. ArXiv. 2020. Update in: Emerg Infect Dis. 2021;27(3):767-778. doi: 10.3201/eid2703.203364. PMID: 32743021 Free PMC article. Updated. Preprint.

8

Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification.

Lin YT, Neumann J, Miller EF, Posner RG, Mallela A, Safta C, Ray J, Thakur G, Chinthavali S, Hlavacek WS. Lin YT, et al. medRxiv [Preprint]. 2021 Jan 19:2020.07.20.20151506. doi: 10.1101/2020.07.20.20151506. medRxiv. 2021. Update in: Emerg Infect Dis. 2021;27(3):767-778. doi: 10.3201/eid2703.203364. PMID: 32743595 Free PMC article. Updated. Preprint.

9

Daily Forecasting of Regional Epidemics of Coronavirus Disease with Bayesian Uncertainty Quantification, United States.

Lin YT, Neumann J, Miller EF, Posner RG, Mallela A, Safta C, Ray J, Thakur G, Chinthavali S, Hlavacek WS. Lin YT, et al. Emerg Infect Dis. 2021;27(3):767-778. doi: 10.3201/eid2703.203364. Emerg Infect Dis. 2021. PMID: 33622460 Free PMC article.

10

Bayesian Inference of State-Level COVID-19 Basic Reproduction Numbers across the United States.

Mallela A, Neumann J, Miller EF, Chen Y, Posner RG, Lin YT, Hlavacek WS. Mallela A, et al. Among authors: lin yt. medRxiv [Preprint]. 2021 Sep 28:2021.09.27.21264188. doi: 10.1101/2021.09.27.21264188. medRxiv. 2021. Update in: Viruses. 2022 Jan 15;14(1):157. doi: 10.3390/v14010157. PMID: 34611664 Free PMC article. Updated. Preprint.

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