Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.

ABSTRACT: Robust computational approaches are needed to characterize systems-level responses to chemical perturbations in environmental and clinical toxicology applications. Appropriate characterization of response presents a methodological challenge when dealing with diverse phenotypic endpoints measured using in vivo systems. In this article, we propose an information-theoretic method named Aggregate Entropy (AggE) and apply it to scoring multiplexed, phenotypic endpoints measured in developing zebrafish (Danio rerio) across a broad concentration-response profile for a diverse set of 1060 chemicals. AggE accurately identified chemicals with significant morphological effects, including single-endpoint effects and multi-endpoint responses that would have been missed by univariate methods, while avoi

SUBMITTER: Zhang G 

PROVIDER: S-EPMC4905797 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature