James Holehouse Quantitative Biology and Complexity


Holehouse, J., & Redner, S. (2023). First-passage on disordered intervals. arXiv preprint arXiv:2307.08879.

Weidemann, D. E., Holehouse, J., Singh, A., Grima, R., & Hauf, S. (2023). The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian. Science Advances, 9(32), eadh5138.

Holehouse, J. (2023). Holehouse, James. Recurrence and Eigenfunction Methods for Non-Trivial Models of Discrete Binary Choice. Entropy.

Holehouse, J., & Moran, J. (2022). Exact time-dependent dynamics of discrete binary choice models. Journal of Physics: Complexity.

Holehouse, J., & Pollitt, H. (2022). Non-equilibrium time-dependent solution to discrete choice with social interactions. PLoS ONE.

Braichenko, S., Holehouse, J., & Grima, R. (2021). Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic models. J. R. Soc. Interface.

Holehouse, J., Sukys, A., & Grima, R. (2020). Stochastic time-dependent enzyme kinetics: Closed-form solution and transient bimodality. The Journal of Chemical Physics

Holehouse, J., Gupta, A., & Grima, R. (2020). Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation. Journal of Physics A: Mathematical and Theoretical.

Holehouse, J., Cao, Z., & Grima, R. (2020). Stochastic modeling of autoregulatory genetic feedback loops: A review and comparative study. Biophysical Journal.

Holehouse, J., & Grima, R. (2019). Revisiting the reduction of stochastic models of genetic feedback loops with fast promoter switching. Biophysical Journal.

Holehouse, J., & Blythe, R. A. (2018). Pre-print. Cross-situational learning of large lexicons with finite memory. arXiv:1809.11047.