English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Complex, quantitative biological models are gaining increasing significance for research hypothesis formulation in biological and medical science. These models are typically described using a set of reactions and parameters such as kinetic rate constants. Measuring these parameters directly from experiments is laborious, or even under certain physiological conditions, impossible. Therefore current research focuses on computational and statistical methods to infer parameter values from experimental high throughput data.

CaliBayes: Integration of GRID based simulation and data resources for Bayesian calibration of biological models