John Fricks, Ph.D.
Affiliations: | 2004 | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
StatisticsGoogle:
"John Fricks"Parents
Sign in to add mentorAmarjit Budhiraja | grad student | 2004 | UNC Chapel Hill | |
(Biomolecular motors and diffusion ratchets.) |
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Publications
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Han L, Fricks J. (2024) A Semi-Markov Approach to Study a Group of Kinesin Motors. Bulletin of Mathematical Biology. 86: 15 |
Klobusicky JJ, Fricks J, Kramer PR. (2020) Effective behavior of cooperative and nonidentical molecular motors. Research in the Mathematical Sciences. 7 |
Ciocanel MV, Fricks J, Kramer PR, et al. (2020) Renewal Reward Perspective on Linear Switching Diffusion Systems in Models of Intracellular Transport. Bulletin of Mathematical Biology. 82: 126 |
Mickolajczyk KJ, Cook ASI, Jevtha JP, et al. (2019) Insights into Kinesin-1 Stepping from Simulations and Tracking of Gold Nanoparticle-Labeled Motors. Biophysical Journal |
Eilertson KE, Fricks J, Ferrari MJ. (2019) Estimation and prediction for a mechanistic model of measles transmission using particle filtering and maximum likelihood estimation. Statistics in Medicine |
Ohashi KG, Han L, Mentley B, et al. (2019) Load-dependent detachment kinetics play a key role in bidirectional cargo transport by kinesin and dynein. Traffic (Copenhagen, Denmark) |
Cook AS, Mickolajczyk KJ, Jethva J, et al. (2019) Insights into Kinesin-1 Stepping Dynamics from Brownian Dynamics Simulations and High-Resolution Tracking of Gold Nanoparticle-Labeled Motors Biophysical Journal. 116: 410a |
Bernstein J, Fricks J. (2016) Analysis of Single Particle Diffusion with Transient Binding using Particle Filtering. Journal of Theoretical Biology |
Goldstein J, Haran M, Simeonov I, et al. (2015) An attraction-repulsion point process model for respiratory syncytial virus infections. Biometrics. 71: 376-85 |
Didier G, Fricks J. (2014) On the wavelet-based simulation of anomalous diffusion Journal of Statistical Computation and Simulation. 84: 697-723 |