Bayesian models for two-sample time-course microarray experiments

DOI10.1016/j.csda.2008.07.015zbMath1453.62027DBLPjournals/csda/AngeliniCP09OpenAlexW2016627375WikidataQ58852331 ScholiaQ58852331MaRDI QIDQ961305

Marianna Pensky, Claudia Angelini, Daniela de Canditiis

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.2008.07.015

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

Related Items (3)

Clustering time-course microarray data using functional Bayesian infinite mixture model ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ Functional Modelling of Microarray Time Series

Uses Software

• maSigPro
• EDGE

Cites Work

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• A multivariate empirical Bayes statistic for replicated microarray time course data
• Statistical decision theory and Bayesian analysis. 2nd ed
• Analyzing Microarray Gene Expression Data
• On Gene Ranking Using Replicated Microarray Time Course Data
• Estimating the error variance in nonparametric regression by a covariate-matched u-statistic
• Statistics for Microarrays
• A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments
• Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes
• Functional Hierarchical Models for Identifying Genes with Different Time‐Course Expression Profiles
• A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes

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