Predicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds.

ABSTRACT:

Background

Chemical bioavailability is an important dose metric in environmental risk assessment. Although many approaches have been used to evaluate bioavailability, not a single approach is free from limitations. Previously, we developed a new genomics-based approach that integrated microarray technology and regression modeling for predicting bioavailability (tissue residue) of explosives compounds in exposed earthworms. In the present study, we further compared 18 different regression models and performed variable selection simultaneously with parameter estimation.

Results

This refined approach was applied to both previously collected and newly acquired earthworm microarray gene expression datasets for three explosive compounds. Our results demonstrate that a prediction a

SUBMITTER: Gong P 

PROVIDER: S-EPMC4784335 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature