Modelling The Biological Complexity Of Our Environment
Citation:
Shah, I. Modelling The Biological Complexity Of Our Environment. Presented at Douglas Connect Environmental Health and Protection Modeling Knowledge Cafe, RTP, NC, May 09, 2018. https://doi.org/10.23645/epacomptox.6945734
Impact/Purpose:
Presentation at the Douglas Connect Environmental Health and Protection Modeling Knowledge Cafe meeting in RTP NC May 2018
Description:
High-throughput data-driven approaches provide alternative toxicity testing strategy. A broad array of computational predictive approaches can be used to predict chemical-induced effects. However, linking complex disparate data-streams is challenging. Tipping point analysis rigorously identifies critical dose-dependent thresholds in system recovery. Further experiments are underway to evaluate utility.
URLs/Downloads:
DOI: Modelling The Biological Complexity Of Our Environment
SHAH-CSB-DOUGLAS CONNECT-V1C.PDF (PDF, NA pp, 1560.401 KB, about PDF)