A framework for the use of single-chemical transcriptomics data in predicting the hazards associated with complex mixtures of polycyclic aromatic hydrocarbons
Crossref DOI link: https://doi.org/10.1007/s00204-016-1891-8
Published Online: 2016-11-17
Published Print: 2017-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Labib, Sarah
Williams, Andrew
Kuo, Byron
Yauk, Carole L.
White, Paul A.
Halappanavar, Sabina
Funding for this research was provided by:
Health Canada (Genomics Research and Development Initiative, Chemicals Management Plan)
License valid from 2016-11-17