R Laubenbacher

First name:
R
Last name:
Laubenbacher
Kadelka, C., Murrugarra, D., & Laubenbacher, R. (2013). Stabilizing gene regulatory networks through feedforward loops. Chaos (Woodbury, N.y.), 23(2), 025107. https://doi.org/10.1063/1.4808248
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Murrugarra, D., Veliz-Cuba, A., Aguilar, B., Arat, S., & Laubenbacher, R. (2012). Modeling stochasticity and variability in gene regulatory networks. Eurasip Journal On Bioinformatics & Systems Biology, 2012(1), 5. https://doi.org/10.1186/1687-4153-2012-5 (Original work published 2012)
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Murrugarra, D., & Laubenbacher, R. (2011). Regulatory patterns in molecular interaction networks. Journal Of Theoretical Biology, 288, 66-72. https://doi.org/10.1016/j.jtbi.2011.08.015 (Original work published 2011)
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Hinkelmann, F., Murrugarra, D., Jarrah, A. S., & Laubenbacher, R. (2011). A mathematical framework for agent based models of complex biological networks. Bulletin Of Mathematical Biology, 73(7), 1583-602. https://doi.org/10.1007/s11538-010-9582-8
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Murrugarra, D., Veliz-Cuba, A., Aguilar, B., & Laubenbacher, R. (2016). Identification of control targets in Boolean molecular network models via computational algebra. Bmc Systems Biology, 10(1), 94. https://doi.org/10.1186/s12918-016-0332-x (Original work published 2016)
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Wooten, D. J., Zañudo, J. G. T., Murrugarra, D., Perry, A. M., Dongari-Bagtzoglou, A., Laubenbacher, R., et al. (2021). Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies. Plos Computational Biology, 17(3), e1008690. https://doi.org/10.1371/journal.pcbi.1008690
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Aguilar, B., Fang, P., Laubenbacher, R., & Murrugarra, D. (2020). A Near-Optimal Control Method for Stochastic Boolean Networks. Letters In Biomathematics, 7(1), 67-80. (Original work published 2020)
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