Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Christopher Rackauckas"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract During the Covid-19 pandemic, real-time social media data could in principle be used as an early predictor of a new epidemic wave. This possibility is examined here by employing a neural ordinary differential equation (neural ODE) trained to
Externí odkaz:
https://doaj.org/article/f9a2ff815dd04ac5ba5bc591cf995dd1
Autor:
Simon Christ, Daniel Schwabeneder, Christopher Rackauckas, Michael Krabbe Borregaard, Thomas Breloff
Publikováno v:
Journal of Open Research Software, Vol 11, Iss 1, Pp 5-5 (2023)
There are many excellent plotting libraries. Each excels at a specific use case: one is particularly suited for creating printable 2D figures for publication, another for generating interactive 3D graphics, while a third may have excellent LATEX inte
Externí odkaz:
https://doaj.org/article/0911062fb7bf43ef963b14b4b2ed25a0
Publikováno v:
iScience, Vol 3, Iss , Pp 11-20 (2018)
Summary: Stochasticity affects accurate signal detection and robust generation of correct cell fates. Although many known regulatory mechanisms may reduce fluctuations in signals, most simultaneously influence their mean dynamics, leading to unfaithf
Externí odkaz:
https://doaj.org/article/26a9ef9114b24c92bead63cb80f0e433
Autor:
Christopher Rackauckas, Qing Nie
Publikováno v:
Journal of Open Research Software, Vol 5, Iss 1 (2017)
DifferentialEquations.jl is a package for solving differential equations in Julia. It covers discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations), ordinary differential equations, stochastic differential equations, a
Externí odkaz:
https://doaj.org/article/2def322f009e4228822143064fda230b
Autor:
Emil Annevelink, Rachel Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Valentin Sulzer, Shang Zhu, Jiankun Pu, David Farina, Matthew Johnson, Dhairya Gandhi, Adarsh Dave, Hongyi Lin, Alan Edelman, Bharath Ramsundar, James Saal, Christopher Rackauckas, Viral Shah, Bryce Meredig, Venkatasubramanian Viswanathan
Publikováno v:
MRS Bulletin. 47:1036-1044
Autor:
Tongli, Zhang, Ioannis P, Androulakis, Peter, Bonate, Limei, Cheng, Tomáš, Helikar, Jaimit, Parikh, Christopher, Rackauckas, Kalyanasundaram, Subramanian, Carolyn R, Cho
Publikováno v:
Journal of Pharmacokinetics and Pharmacodynamics. 49:5-18
Quantitative systems pharmacology (QSP) modeling is applied to address essential questions in drug development, such as the mechanism of action of a therapeutic agent and the progression of disease. Meanwhile, machine learning (ML) approaches also co
Publikováno v:
2022 IEEE High Performance Extreme Computing Conference (HPEC).
Autor:
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean, Huda Nassar, Christopher Rackauckas, Timothy E. Holy, Michael P. H. Stumpf
Publikováno v:
Nature Methods. 20:771-771
Publikováno v:
Trends in Pharmacological Sciences
The model-informed drug discovery and development paradigm is now well established among the pharmaceutical industry and regulatory agencies. This success has been mainly due to the ability of pharmacometrics to bring together different modeling stra