A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants.

ABSTRACT: In this article we propose a Bayesian hierarchical model for the identification of differentially expressed genes in Daphnia magna organisms exposed to chemical compounds, specifically munition pollutants in water. The model we propose constitutes one of the very first attempts at a rigorous modeling of the biological effects of water purification. We have data acquired from a purification system that comprises four consecutive purification stages, which we refer to as "ponds," of progressively more contaminated water. We model the expected expression of a gene in a pond as the sum of the mean of the same gene in the previous pond plus a gene-pond specific difference. We incorporate a variable selection mechanism for the identification of the differential expressions, with a prior distribu

SUBMITTER: Cassese A 

PROVIDER: S-EPMC4880373 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature