Informationen zum Projektseminar über Stochastik und Biologie (SS 2017)

P. Pfaffelhuber, Lesekurs: Mo 11 - 12 Uhr, SR 232, Eckerstr. 1

Der nächste Termin findet am 12. Juni um 11:00 Uhr statt.

Dann beginnen wir mit:

• Sheehan S, Song YS (2016) Deep Learning for Population Genetic Inference. PLoS Comput Biol 12(3): e1004845. https://doi.org/10.1371/journal.pcbi.1004845

Die Themen der vergangenen Wochen waren:

• Adrián González Casanova, Noemi Kurt, Anton Wakolbinger, Linglong Yuan.: An individual-based model for the Lenski experiment, and the deceleration of the relative fitness. Stochastic Processes and their Applications, 2016, vol. 126, issue 8, pages 2211-2252

• Fuchs, Christiane.: Inference for Diffusion Processes With Applications in Life Sciences. Springer (2013)

•  Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Deep Learning. Nature 521, 436–444 (28 May 2015) doi:10.1038/nature14539

Die Themen des vergangenen Semesters waren:

• Jerome Kelleher, Alison M Etheridge, Gil McVean. (2015). Efficient coalescent simulation and genealogical analysis for large sample sizes
•  Stewart, A. J., & Plotkin, J. B. (2014). Collapse of cooperation in evolving games. Proceedings of the National Academy of Sciences, 111(49), 17558–17563. doi:10.1073/pnas.1408618111
• Hye-Won Kang, Thomas G. Kurtz, Lea Popovic. Central limit theorems and diffusion approximations for multiscale Markov chain models.  Annals of Applied Probability (2014).

• Foll, M., Shim, H., & Jensen, J. D. (2015). WFABC: A Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data. Molecular Ecology Resources, 15(1), 87–98. doi:10.1111/1755-0998.12280
• Shim, H., Laurent, S., Matuszewski, S., Foll, M., & Jensen, J. D. (2016). Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data. G3 (Bethesda, Md.), 6(4), 893–904. doi:10.1534/g3.115.023200

• Beaumont, M. A. (2010). Approximate Bayesian Computation in Evolution and Ecology. Annu.Rev.Ecol.Evol.Syst., 41(1), 379–406. doi:10.1146/annurev-ecolsys-10
  2209-144621
• Cappelletti, Daniele, Wiuf, Carsten. Elimination of Intermediate Species in Multiscale Stochastic Reaction Networks. Ann Appl Probat (2014)

• Swart, J., Duality and intertwining of Markov chains. Lecture notes for the ALEA in Europe School, Marseille 2013.

• Jansen, Sabine, Kurt, Noemi. On the notion(s) of duality for Markov processes. Probability Surveys, Volume 11 (2014)

• Uecker, H., Otto, S. P., & Hermisson, J. (2015). The Role of Recombination in Evolutionary Rescue. Genetics, genetics.115.180299-.doi:10.1534/genetics.115.180299 

• Dawson, D. A., Greven, A.: Spatial Fleming-Viot models with selection and mutation. Springer (2014)