A Bayesian model for the identification of differentially expressed genes inDaphnia magnaexposed to munition pollutants

DOI10.1111/biom.12303zbMath1419.62319OpenAlexW1845469102WikidataQ28833472 ScholiaQ28833472MaRDI QIDQ2803504

Francesco Falciani, Alberto Cassese, Michele Guindani, Philipp Antczak, Marina Vannucci

Publication date: 4 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12303

zbMATH Keywords

Bayesian inferencevariable selectiontranscriptomics\textit{Daphnia magna}environmental toxicologyprobit prior

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• A Bayesian graphical modeling approach to microRNA regulatory network inference
• Variable selection for nonparametric Gaussian process priors: Models and computational strategies
• Significance analysis of microarrays applied to the ionizing radiation response
• Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage
• Multivariate Bayesian Variable Selection and Prediction
• Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics

This page was built for publication: A Bayesian model for the identification of differentially expressed genes inDaphnia magnaexposed to munition pollutants