Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization

Title
Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization
Authors
Keywords
Polynomials, Cell membranes, Markov models, Simulation and modeling, Yeast and fungal models, Monte Carlo method, Probability distribution, Saccharomyces cerevisiae
Journal
PLoS Computational Biology
Volume 14, Issue 5, Pages e1006181
Publisher
Public Library of Science (PLoS)
Online
2018-05-30
DOI
10.1371/journal.pcbi.1006181

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now