Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors
Joint Authors
Hsiao, Chuhsing Kate
Chien, Wen-Kuei
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Recent advancement in microarray technologies has led to a collection of an enormous number of genetic markers in disease association studies, and yet scientists are interested in selecting a smaller set of genes to explore the relation between genes and disease.
Current approaches either adopt a single marker test which ignores the possible interaction among genes or consider a multistage procedure that reduces the large size of genes before evaluation of the association.
Among the latter, Bayesian analysis can further accommodate the correlation between genes through the specification of a multivariate prior distribution and estimate the probabilities of association through latent variables.
The covariance matrix, however, depends on an unknown parameter.
In this research, we suggested a reference hyperprior distribution for such uncertainty, outlined the implementation of its computation, and illustrated this fully Bayesian approach with a colon and leukemia cancer study.
Comparison with other existing methods was also conducted.
The classification accuracy of our proposed model is higher with a smaller set of selected genes.
The results not only replicated findings in several earlier studies, but also provided the strength of association with posterior probabilities.
American Psychological Association (APA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. 2013. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-470820
Modern Language Association (MLA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-470820
American Medical Association (AMA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-470820
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470820