Identifi cation of signifi cant genes in genomics using Bayesian variable selection methods
- Eugene Lin
- Correspondence Lung-cheng Huang
DOIAbstract
which permits unrestricted noncommercial use, provided the original work is properly cited
which permits unrestricted noncommercial use, provided the original work is properly cited
Statistical genetics is a scientific discipline that covers any statistical analysis of genetic data...
Genomic prediction involves using high-density marker genotypes to characterize the impact on perfor...
which permits unrestricted noncommercial use, provided the original work is properly cited
License, which permits unrestricted use, distribution, and reproduction in anymedium, provided the o...
2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, p...
Motivation: In clinical practice, pathological phenotypes are often labelled with ordinal scales rat...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
enable the screening of a biological sample for expressions of thousands of genes simultaneously und...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
Integrating biological knowledge into variable selection: an empirical Bayes approach with an applic...
2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, p...
© 2014 Zhang et al.Background: Genome-wide Association Studies (GWAS) are typically designed to iden...
A common interest in gene expression data analysis is to identify from a large pool of candidate gen...
Bayesian methods for the prediction of genetic values based on genome-wide marker
Statistical genetics is a scientific discipline that covers any statistical analysis of genetic data...
Genomic prediction involves using high-density marker genotypes to characterize the impact on perfor...
which permits unrestricted noncommercial use, provided the original work is properly cited
License, which permits unrestricted use, distribution, and reproduction in anymedium, provided the o...
2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, p...
Motivation: In clinical practice, pathological phenotypes are often labelled with ordinal scales rat...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
The discovery of genetic or genomic markers plays a central role in the development of personalized ...
enable the screening of a biological sample for expressions of thousands of genes simultaneously und...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
Integrating biological knowledge into variable selection: an empirical Bayes approach with an applic...
2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, p...
© 2014 Zhang et al.Background: Genome-wide Association Studies (GWAS) are typically designed to iden...
A common interest in gene expression data analysis is to identify from a large pool of candidate gen...
Bayesian methods for the prediction of genetic values based on genome-wide marker
Statistical genetics is a scientific discipline that covers any statistical analysis of genetic data...
Genomic prediction involves using high-density marker genotypes to characterize the impact on perfor...
which permits unrestricted noncommercial use, provided the original work is properly cited
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