Articoli con mandati relativi all'accesso pubblico - Linda PetzoldUlteriori informazioni
Non disponibile pubblicamente: 1
Systems Analysis for Systems Biology
S Hildebrandt, N Bagheri, R Gunawan, H Mirsky, J Shoemaker, S Taylor, ...
Systems Biomedicine, 249-272, 2010
Mandati: US National Institutes of Health
Disponibili pubblicamente: 123
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
M Alber, A Buganza Tepole, WR Cannon, S De, S Dura-Bernal, ...
NPJ digital medicine 2 (1), 115, 2019
Mandati: US Department of Energy, US National Institutes of Health
Perspective: Stochastic algorithms for chemical kinetics
DT Gillespie, A Hellander, LR Petzold
The Journal of chemical physics 138 (17), 2013
Mandati: US National Institutes of Health
Multiscale modeling meets machine learning: What can we learn?
GCY Peng, M Alber, A Buganza Tepole, WR Cannon, S De, ...
Archives of Computational Methods in Engineering 28, 1017-1037, 2021
Mandati: US Department of Energy, US Department of Defense, US National Institutes of …
StochKit2: software for discrete stochastic simulation of biochemical systems with events
KR Sanft, S Wu, M Roh, J Fu, RK Lim, LR Petzold
Bioinformatics 27 (17), 2457-2458, 2011
Mandati: US National Institutes of Health
Regulation of cell-type-specific transcriptomes by microRNA networks during human brain development
TJ Nowakowski, N Rani, M Golkaram, HR Zhou, B Alvarado, K Huch, ...
Nature neuroscience 21 (12), 1784-1792, 2018
Mandati: US National Institutes of Health, Department of Science & Technology, India
A neuropeptide speeds circadian entrainment by reducing intercellular synchrony
S An, R Harang, K Meeker, D Granados-Fuentes, CA Tsai, C Mazuski, ...
Proceedings of the National Academy of Sciences 110 (46), E4355-E4361, 2013
Mandati: US National Institutes of Health
Kinetic modeling of biological systems
H Resat, L Petzold, MF Pettigrew
Computational systems biology, 311-335, 2009
Mandati: US National Institutes of Health
Legitimacy of the stochastic Michaelis–Menten approximation
KR Sanft, DT Gillespie, LR Petzold
IET systems biology 5 (1), 58-69, 2011
Mandati: US National Institutes of Health
International assessment of research and development in simulation-based engineering and science
SC Glotzer
World Scientific, 2011
Mandati: US National Institutes of Health
Research and education in computational science and engineering
U Rüde, K Willcox, LC McInnes, HD Sterck
Siam Review 60 (3), 707-754, 2018
Mandati: US Department of Energy, US National Institutes of Health
Linear noise approximation is valid over limited times for any chemical system that is sufficiently large
EWJ Wallace, DT Gillespie, KR Sanft, LR Petzold
IET systems biology 6 (4), 102-115, 2012
Mandati: US National Institutes of Health
Ontogeny of circadian rhythms and synchrony in the suprachiasmatic nucleus
V Carmona-Alcocer, JH Abel, TC Sun, LR Petzold, FJ Doyle, CL Simms, ...
Journal of Neuroscience 38 (6), 1326-1334, 2018
Mandati: US National Institutes of Health
The diffusive finite state projection algorithm for efficient simulation of the stochastic reaction-diffusion master equation
B Drawert, MJ Lawson, L Petzold, M Khammash
The Journal of chemical physics 132 (7), 2010
Mandati: US National Institutes of Health
The multinomial simulation algorithm for discrete stochastic simulation of reaction-diffusion systems
S Lampoudi, DT Gillespie, LR Petzold
The Journal of chemical physics 130 (9), 2009
Mandati: US National Institutes of Health
Functional neuronal circuitry and oscillatory dynamics in human brain organoids
T Sharf, T Van Der Molen, SMK Glasauer, E Guzman, AP Buccino, G Luna, ...
Nature communications 13 (1), 4403, 2022
Mandati: Swiss National Science Foundation, US National Institutes of Health …
Functional network inference of the suprachiasmatic nucleus
JH Abel, K Meeker, D Granados-Fuentes, PC St. John, TJ Wang, ...
Proceedings of the National Academy of Sciences 113 (16), 4512-4517, 2016
Mandati: US Department of Energy, US National Institutes of Health
Reaction-diffusion master equation in the microscopic limit
S Hellander, A Hellander, L Petzold
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (4 …, 2012
Mandati: Swedish Research Council
Stochastic simulation service: bridging the gap between the computational expert and the biologist
B Drawert, A Hellander, B Bales, D Banerjee, G Bellesia, BJ Daigle Jr, ...
PLoS computational biology 12 (12), e1005220, 2016
Mandati: US National Science Foundation, US Department of Energy, US National …
Accelerated maximum likelihood parameter estimation for stochastic biochemical systems
BJ Daigle, MK Roh, LR Petzold, J Niemi
BMC bioinformatics 13, 1-18, 2012
Mandati: US National Institutes of Health
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