A statistical framework for applying RNA profiling to chemical hazard detection.

ABSTRACT: Use of 'omics technologies in environmental science is expanding. However, application is mostly restricted to characterizing molecular steps leading from toxicant interaction with molecular receptors to apical endpoints in laboratory species. Use in environmental decision-making is limited, due to difficulty in elucidating mechanisms in sufficient detail to make quantitative outcome predictions in any single species or in extending predictions to aquatic communities. Here we introduce a mechanism-agnostic statistical approach, supplementing mechanistic investigation by allowing probabilistic outcome prediction even when understanding of molecular pathways is limited, and facilitating extrapolation from results in laboratory test species to predictions about aquatic communities. We use con

SUBMITTER: Kostich MS 

PROVIDER: S-EPMC6146931 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature