Detecting differentially expressed genes in microarrays using Bayesian model selection

Journal article

Open access

Journal of the American Statistical Association, Vol.98(462), pp.438-455

2003

Abstract

Linear inference, regression

Applications

Exact sciences and technology

Mathematics

Probability and statistics

Multivariate analysis

Statistics

Parametric inference

Biology, psychology, social sciences

Sciences and techniques of general use

url

https://doi.org/10.1198/016214503000224View

Published (Version of record) Open

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Collaboration types: Domestic collaboration
Citation topics: 1 Clinical & Life Sciences; 1.54 Molecular & Cell Biology - Genetics; 1.54.79 Gene Expression Data
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

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Source: InCites

Title: Detecting differentially expressed genes in microarrays using Bayesian model selection
Creators: Hemant ISHWARAN - Department of Biostatistics and Epidemiology Wb4, Cleveland Clinic Foundation, Cleveland, OH 44195, United States
J. Sunil RAO - Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, United States
Publication Details: Journal of the American Statistical Association, Vol.98(462), pp.438-455
Publisher: American Statistical Association
Academic Unit: Miller School of Medicine; UMMG Department of Public Health Sciences Research
Language: English
Resource Type: Journal article
Record Identifier: 991031598431202976