Detecting differential growth of microbial populations with Gaussian process regression.

ABSTRACT: Microbial growth curves are used to study differential effects of media, genetics, and stress on microbial population growth. Consequently, many modeling frameworks exist to capture microbial population growth measurements. However, current models are designed to quantify growth under conditions for which growth has a specific functional form. Extensions to these models are required to quantify the effects of perturbations, which often exhibit nonstandard growth curves. Rather than assume specific functional forms for experimental perturbations, we developed a general and robust model of microbial population growth curves using Gaussian process (GP) regression. GP regression modeling of high-resolution time-series growth data enables accurate quantification of population growth and allows

SUBMITTER: Tonner PD 

PROVIDER: S-EPMC5287237 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature