Finding Slim Parameters for Observed Site-Frequency Spectrum
Title
Finding Slim Parameters for Observed Site-Frequency Spectrum
Subject
Physics
Description
In this project we use the Approximate Bayesian Computation - Markov Chain Monte Carlo algorithm to identify parameters of a SLiM model to explain our data
set of the observed site-frequency spectrum.
set of the observed site-frequency spectrum.
Creator
Kate Gamper
Publisher
2021
Files
Collection
Citation
Kate Gamper, “Finding Slim Parameters for Observed Site-Frequency Spectrum,” URSS SHOWCASE, accessed October 5, 2024, https://linen-dog.lnx.warwick.ac.uk/items/show/141.