BAMarraytrade mark: Java software for Bayesian analysis of variance for microarray data.

ABSTRACT:

Background

DNA microarrays open up a new horizon for studying the genetic determinants of disease. The high throughput nature of these arrays creates an enormous wealth of information, but also poses a challenge to data analysis. Inferential problems become even more pronounced as experimental designs used to collect data become more complex. An important example is multigroup data collected over different experimental groups, such as data collected from distinct stages of a disease process. We have developed a method specifically addressing these issues termed Bayesian ANOVA for microarrays (BAM). The BAM approach uses a special inferential regularization known as spike-and-slab shrinkage that provides an optimal balance between total false detections and total false non-detection

SUBMITTER: Ishwaran H 

PROVIDER: S-EPMC1382258 | biostudies-literature | 2006 Feb

REPOSITORIES: biostudies-literature