Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6487107 | Computational Biology and Chemistry | 2015 | 13 Pages |
Abstract
Our new framework provides a flexible way of constructing coalescence hidden Markov models almost automatically. While estimating parameters in more complex models is still challenging we show that using heuristic optimisation algorithms we still get a fairly good accuracy.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Jade Yu Cheng, Thomas Mailund,