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)