Bayesian approach for analysis of time-to-event data in plant biology.

ABSTRACT:

Background

Plants, like all living organisms, metamorphose their bodies during their lifetime. All the developmental and growth events in a plant's life are connected to specific points in time, be it seed germination, seedling emergence, the appearance of the first leaf, heading, flowering, fruit ripening, wilting, or death. The onset of automated phenotyping methods has brought an explosion of such time-to-event data. Unfortunately, it has not been matched by an explosion of adequate data analysis methods.

Results and discussion

In this paper, we introduce the Bayesian approach towards time-to-event data in plant biology. As a model example, we use seedling emergence data of maize under control and stress conditions but the Bayesian approach is suitable for any time-to-eve

SUBMITTER: Humplik JF 

PROVIDER: S-EPMC7011251 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature