Zeitschriftenartikel (7)

  1. 1.
    Hindersin, L.; Wu, B.; Traulsen, A.; Garcia, J.: Computation and simulation of evolutionary game dynamics in finite populations. Scientific Reports 9 (2019)
  2. 2.
    Möller, M.; Hindersin, L.; Traulsen, A.: Exploring and mapping the universe of evolutionary graphs identifies structural properties affecting fixation probability and time. Communications Biology 2, 137 (2019)
  3. 3.
    Vallier, M.; Abou Chakra, M.; Hindersin, L.; Linnenbrink, M.; Traulsen, A.; Baines, J. F.: Evaluating the maintenance of disease-associated variation at the blood group-related gene B4galnt2 in house mice. BMC Evolutionary Biology 17, 187 (2017)
  4. 4.
    Hindersin, L.; Werner, B.; Dingli, D.; Traulsen, A.: Should tissue structure suppress or amplify selection to minimize cancer risk? Biology Direct 11 (1), 1 (2016)
  5. 5.
    Hindersin, L.; Möller, M.; Traulsen, A.; Bauer, B.: Exact numerical calculation of fixation probability and time on graphs. Biosystems [Elektronische Ressource]: Journal of Biological and Information Processing Sciences 150, S. 87 - 91 (2016)
  6. 6.
    Hindersin, L.; Traulsen, A.: Most undirected random graphs are amplifiers of selection for birth-death dynamics, but suppressors of selection for death-birth dynamics. PLoS Computational Biology 11 (11) (2015)
  7. 7.
    Hindersin, L.; Traulsen, A.: Counterintuitive properties of the fixation time in network-structured populations. Journal of the Royal Society Interface 11 (99), 20140606 (2014)

Hochschulschrift - Doktorarbeit (1)

  1. 8.
    Hochschulschrift - Doktorarbeit
    Hindersin, L.: The effect of graph structure on the dynamics of a stochastic evolutionary process. Dissertation, 105 S., University of Lübeck, Lübeck (2018)

Hochschulschrift - Master (2)

  1. 9.
    Hochschulschrift - Master
    Möller, M.: Fixation probability and time for the Moran process on graphs. Master, 61 S., Universität zu Lübeck, Lübeck (2018)
  2. 10.
    Hochschulschrift - Master
    Hindersin, L.: Fixation times in graph-structured populations. Master, VIII, 56 S., Universität zu Lübeck, Lübeck (2013)
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