Microarrays are invaluable high-throughput tools used to snapshot the gene expression profiles of cells and tissues. Among the most basic and funda-mental questions asked of microarray data is whe-ther individual genes are significantly activated or repressed by a particular stimulus. We have previ-ously presented two Bayesian statistical methods for this level of analysis, collectively known as variance-modeled posterior inference with regional exponentials (VAMPIRE). These methods each require a sophisticated modeling step followed by integration of a posterior probability density. We pre-sent here a publicly available, web-based platform that allows users to easily load data, associate related samples and identify differentially expresse...
With the development of DNA microarray technology, scientists can now measure the expression levels ...
<p>Genomics refers to the comprehensive study of genes and their function. Recent advances in<br>bio...
The recent developments in experimental methods for gene data analysis, called microarrays, provide ...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
Abstract Background DNA microarrays provide an efficient method for measuring activity of genes in p...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
Gene expression is arguably the most important indicator of biological function. Thus identifying di...
High-throughput gene analysis technology such as cDNA microarray and oligonucleotide arrays has enab...
University of Minnesota Ph.D. dissertation. April 2009. Major:Biostatistics. Advisor: Wei Pan. 1 com...
Background: The detection of small yet statistically significant differences in gene expression in s...
The development of new technologies to measure gene expression has been calling for statistical meth...
Abstract Background ...
With the development of DNA microarray technology, scientists can now measure gene expression levels...
Microarray technology has become one of the most important tools for genome-wide mRNAmeasurements. T...
With the development of DNA microarray technology, scientists can now measure the expression levels ...
<p>Genomics refers to the comprehensive study of genes and their function. Recent advances in<br>bio...
The recent developments in experimental methods for gene data analysis, called microarrays, provide ...
We review the use of Bayesian methods for analyzing gene expression data. We focus on methods which ...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
Abstract Background DNA microarrays provide an efficient method for measuring activity of genes in p...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
Gene expression is arguably the most important indicator of biological function. Thus identifying di...
High-throughput gene analysis technology such as cDNA microarray and oligonucleotide arrays has enab...
University of Minnesota Ph.D. dissertation. April 2009. Major:Biostatistics. Advisor: Wei Pan. 1 com...
Background: The detection of small yet statistically significant differences in gene expression in s...
The development of new technologies to measure gene expression has been calling for statistical meth...
Abstract Background ...
With the development of DNA microarray technology, scientists can now measure gene expression levels...
Microarray technology has become one of the most important tools for genome-wide mRNAmeasurements. T...
With the development of DNA microarray technology, scientists can now measure the expression levels ...
<p>Genomics refers to the comprehensive study of genes and their function. Recent advances in<br>bio...
The recent developments in experimental methods for gene data analysis, called microarrays, provide ...