Ontology highlight
ABSTRACT:
SUBMITTER: Shockley EM
PROVIDER: S-EPMC5860607 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Shockley Erin M EM Vrugt Jasper A JA Lopez Carlos F CF
Bioinformatics (Oxford, England) 20180201 4
<h4>Summary</h4>Biological models contain many parameters whose values are difficult to measure directly via experimentation and therefore require calibration against experimental data. Markov chain Monte Carlo (MCMC) methods are suitable to estimate multivariate posterior model parameter distributions, but these methods may exhibit slow or premature convergence in high-dimensional search spaces. Here, we present PyDREAM, a Python implementation of the (Multiple-Try) Differential Evolution Adapt ...[more]