Cargando…
Detecting differential growth of microbial populations with Gaussian process regression
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...
Autores principales: | Tonner, Peter D., Darnell, Cynthia L., Engelhardt, Barbara E., Schmid, Amy K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287237/ https://www.ncbi.nlm.nih.gov/pubmed/27864351 http://dx.doi.org/10.1101/gr.210286.116 |
Ejemplares similares
-
A Bayesian non-parametric mixed-effects model of microbial growth curves
por: Tonner, Peter D., et al.
Publicado: (2020) -
Regression with Gaussian Processes
por: Kalia, Saarik
Publicado: (2016) -
Sparse multi-output Gaussian processes for online medical time series prediction
por: Cheng, Li-Fang, et al.
Publicado: (2020) -
Gaussian Process Regression for Materials and Molecules
por: Deringer, Volker L., et al.
Publicado: (2021) -
Directional Gaussian Mixture Models of the Gut Microbiome Elucidate Microbial Spatial Structure
por: Pasarkar, Amey P., et al.
Publicado: (2021)