John Fricks, Ph.D.

Affiliations: 
2004 University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Statistics
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"John Fricks"

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Amarjit 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
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