Toxicity mechanisms identification via gene set enrichment analysis of time-series toxicogenomics data: impact of time and concentration.

ABSTRACT: The advance in high-throughput "toxicogenomics" technologies, which allows for concurrent monitoring of cellular responses globally upon exposure to chemical toxicants, presents promises for next-generation toxicity assessment. It is recognized that cellular responses to toxicants have a highly dynamic nature, and exhibit both temporal complexity and dose-response shifts. Most current gene enrichment or pathway analysis lack the recognition of the inherent correlation within time series data, and may potentially miss important pathways or yield biased and inconsistent results that ignore dynamic patterns and time-sensitivity. In this study, we investigated the application of two score metrics for GSEA (gene set enrichment analysis) to rank the genes that consider the temporal gene expressi

SUBMITTER: Gao C 

PROVIDER: S-EPMC6321746 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature