Resent deterministic nodes.<p><b>Copyright information:</b></p><p>Taken from "Bayesian hierarchical modeling of means and covariances of gene expression data within families"</p><p>http://www.biomedcentral.com/1753-6561/1/S1/S111</p><p>BMC Proceedings 2007;1(Suppl 1):S111-S111.</p><p>Published online 18 Dec 2007</p><p>PMCID:PMC2367475.</p><p></p
The use of clustering methods has rapidly become one of the standard computational approaches to und...
This thesis addresses the application of Bayesian hierarchical models to the analysis of high-throug...
Motivation: Biological assays are often carried out on tissues that contain many cell lineages and a...
Resent deterministic nodes.<p><b>Copyright information:</b></p><p>Taken from "Bayesian hierarchical ...
In a microarray experiment, it is expected that there will be correlations between the expression le...
phd thesis on bayesian hierarchical models for the integrated analysis of genomic platforms, such as...
Many bioinformatics problems implicitly depend on estimating large-scale covariance ma-trix. The tra...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Title: Bayesian Hierarchical Model for Genetic Association with Multiple Correlated Phenotypes. Aut...
Motivation: Inference about differential expression is a typical objective when analyzing gene expre...
Motivation: Biological assays are often carried out on tissues that contain many cell lineages and a...
<p><b>Copyright information:</b></p><p>Taken from "Bayesian model accounting for within-class biolog...
I consider a well-known problem in the field of statistical genetics called a genome-wide associatio...
Gene regulatory networks are a visual representation of genes and their interactions. In this visual...
Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the ...
The use of clustering methods has rapidly become one of the standard computational approaches to und...
This thesis addresses the application of Bayesian hierarchical models to the analysis of high-throug...
Motivation: Biological assays are often carried out on tissues that contain many cell lineages and a...
Resent deterministic nodes.<p><b>Copyright information:</b></p><p>Taken from "Bayesian hierarchical ...
In a microarray experiment, it is expected that there will be correlations between the expression le...
phd thesis on bayesian hierarchical models for the integrated analysis of genomic platforms, such as...
Many bioinformatics problems implicitly depend on estimating large-scale covariance ma-trix. The tra...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Title: Bayesian Hierarchical Model for Genetic Association with Multiple Correlated Phenotypes. Aut...
Motivation: Inference about differential expression is a typical objective when analyzing gene expre...
Motivation: Biological assays are often carried out on tissues that contain many cell lineages and a...
<p><b>Copyright information:</b></p><p>Taken from "Bayesian model accounting for within-class biolog...
I consider a well-known problem in the field of statistical genetics called a genome-wide associatio...
Gene regulatory networks are a visual representation of genes and their interactions. In this visual...
Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the ...
The use of clustering methods has rapidly become one of the standard computational approaches to und...
This thesis addresses the application of Bayesian hierarchical models to the analysis of high-throug...
Motivation: Biological assays are often carried out on tissues that contain many cell lineages and a...