Information sharing in high-dimensional gene expression data for improved parameter estimation in concentration-response modelling.

ABSTRACT: In toxicological concentration-response studies, a frequent goal is the determination of an 'alert concentration', i.e. the lowest concentration where a notable change in the response in comparison to the control is observed. In high-throughput gene expression experiments, e.g. based on microarray or RNA-seq technology, concentration-response profiles can be measured for thousands of genes simultaneously. One approach for determining the alert concentration is given by fitting a parametric model to the data which allows interpolation between the tested concentrations. It is well known that the quality of a model fit improves with the number of measured data points. However, adding new replicates for existing concentrations or even several replicates for new concentrations is time-consuming

SUBMITTER: Kappenberg F 

PROVIDER: S-EPMC10588876 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature