Article

Alhassan, Y, Siekmann, I and Petrovskii, S (2024) Mathematical model of oxygen minimum zones in the vertical distribution of oxygen in the ocean. Scientific Reports, 14.

Hawker, M and Siekmann, I (2024) "People" meet "Markovians" - Individual-based modelling with hybrid stochastic systems. Journal of Biological Systems. ISSN 0218-3390

Mitchinson, AJ, Pogson, M, Czanner, G, Conway, D, Wilkinson, RR, Murphy, MF, Siekmann, I and Webb, SD (2024) A stochastic model for topographically influenced cell migration. Journal of Theoretical Biology, 581. ISSN 0022-5193

Srisawat, K, Stead, CA, Hesketh, K, Pogson, MA, Strauss, JA, Cocks, MS, Siekmann, I, Phillips, SM, Lisboa, PJ, Shepherd, SO and Burniston, JG (2023) People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training. Proteomics. pp. 1-14. ISSN 1615-9853

Araujo, R, Brumley, D, Cursons, J, Day, K, Faria, M, Flegg, JA, Germano, D, Hunt, H, Hunter, P, Jenner, A, Johnston, S, McCaw, JM, Maini, P, Miller, C, Muskovic, W, Osborne, J, Pan, M, Rajagopal, V, Shahidi, N, Siekmann, I et al, Stumpf, M and Zanca, A (2023) Frontiers of Mathematical Biology: A workshop honouring Professor Edmund Crampin. Mathematical Biosciences, 359. ISSN 0025-5564

Hoy, M, Fritsch, S, Bröcker, T, Kuhl, J and Siekmann, I (2023) A Stochastic Model of Personality Differences Based on PSI Theory. Mathematics, 11 (5). p. 1182. ISSN 2227-7390

Köhnke, MC, Siekmann, I, Seno, H and Malchow, H (2020) A type IV functional response with different shapes in a predator-prey model. Journal of Theoretical Biology, 505. ISSN 0022-5193

Köhnke, MC, Siekmann, I and Malchow, H (2020) Taxis-driven pattern formation in a predator-prey model with group defense. Ecological Complexity, 43. ISSN 1476-945X

Siekmann, I, Bjelosevic, S, Landman, K, Monagle, P, Ignjatovic, V and Crampin, EJ (2019) Mathematical modelling indicates that lower activity of the haemostatic system in neonates is primarily due to lower prothrombin concentration. Scientific Reports, 9. ISSN 2045-2322

Bengfort, M, Siekmann, I and Malchow, H (2017) Invasive competition with Fokker-Planck diffusion and noise. Ecological Complexity, 34. pp. 134-138. ISSN 1476-945X

Siekmann, I (2017) An applied mathematician's perspective on Rosennean complexity. Ecological Complexity. ISSN 1476-945X

Gawthrop, PJ, Siekmann, I, Kameneva, T, Saha, S, Ibbotson, MR and Crampin, EJ (2017) Bond graph modelling of chemoelectrical energy transduction. IET Systems Biology, 11 (5). pp. 127-138. ISSN 1751-8849

Siekmann, I, Bengfort, M and Malchow, H (2017) Coexistence of competitors mediated by nonlinear noise. European Physical Journal - Special Topics, 226 (9). pp. 2157-2170. ISSN 1951-6355

Siekmann, I, Fackrell, M, Crampin, EJ and Taylor, P (2016) Modelling modal gating of ion channels with hierarchical Markov models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 472 (2192). ISSN 1364-5021

Siekmann, I and Malchow, H (2016) Fighting Enemies and Noise: Competition of Residents and Invaders in a Stochastically Fluctuating Environment. Mathematical Modelling of Natural Phenomena, 11 (5). pp. 137-157. ISSN 0973-5348

Rajagopal, V, Bass, G, Walker, CG, Crossman, DJ, Petzer, A, Hickey, A, Siekmann, I, Hoshijima, M, Ellisman, MH, Crampin, EJ and Soeller, C (2015) Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes. PLoS Computational Biology, 11 (9). ISSN 1553-734X

Siekmann, I (2015) Bifurcation analysis of individual-based models in population dynamics. Ecological Complexity, 21. pp. 177-184. ISSN 1476-945X

Siekmann, I, Sneyd, J and Crampin, EJ (2014) Statistical analysis of modal gating in ion channels. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 470 (2166). ISSN 1364-5021

Book Section

Siekmann, I, Cao, P, Sneyd, J and Crampin, EJ (2019) Data-Driven Modelling of the Inositol Trisphosphate Receptor (IPR) and its Role in Calcium-Induced Calcium Release (CICR). In: de Pitta, M and Berry, H, (eds.) Computational Glioscience. Springer Series in Computational Neuroscience . Springer. ISBN 3030008177