A heavy-tailed empirical Bayes method for replicated microarray data

DOI10.1016/j.csda.2008.08.008zbMath1453.62189OpenAlexW2022126491MaRDI QIDQ961303

Diego P. Ruiz, Ercan Engin Kuruoglu, Diego Salas-González

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.008

Mathematics Subject Classification ID

Infinitely divisible distributions; stable distributions (60E07) Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (2)

Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ Modelling with mixture of symmetric stable distributions using Gibbs sampling

Uses Software

• R
• STABLE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Maximum-likelihood symmetric α-stable parameter estimation
• A Laplace mixture model for identification of differential expression in microarray experiments
• A Method for Simulating Stable Random Variables
• Numerical calculation of stable densities and distribution functions
• BAYESIAN REGRESSION ANALYSIS WITH SCALE MIXTURES OF NORMALS
• Parameter Estimation of Stable Distributions
• Density parameter estimation of skewed α-stable distributions
• Error Distribution for Gene Expression Data
• Statistical analysis of microarray data: a Bayesian approach
• Detecting differential gene expression with a semiparametric hierarchical mixture method
• A Bayesian Mixture Model for Differential Gene Expression
• Distribution associated with stochastic processes of gene expression in a single eukaryotic cell

This page was built for publication: A heavy-tailed empirical Bayes method for replicated microarray data