A Gaussian processes approach facilitates the identification of robust biomarkers for exposure to complex pesticide mixtures 5

ABSTRACT: In this study, we obtained transcriptomic data from the springtail Folsomia candida under two binary mixture exposures in a grid design and finely resolved for stress intensity. The mixtures either had the same or different presumed mechanisms of toxic action. The mixtures consisted of either two neonicotinoids insecticides, imidacloprid and clothianidin, or imidacloprid and the azole fungicide cyproconazole, respectively. We analyzed the data using a custom-made statistical framework based on Gaussian Processes (GP) models to meet common challenges of mixture toxicity transcriptomic data, and analyzed the two datasets in conjunction without the need for batch effect correction.

ORGANISM(S): Folsomia candida

PROVIDER: GSE224230 | GEO | 2026/01/31

REPOSITORIES: GEO