학술논문

Assessing the Codetermination of Gene Transcriptional States Using Both Superscalar and Vector Multiple Processor Systems
Document Type
Conference
Source
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the. :4779-4782 2005
Subject
Bioengineering
Gene expression
DNA
Genomics
Bioinformatics
Large-scale systems
Parallel processing
Vector processors
Biological information theory
Information technology
Humans
Computational biology
gene expression analysis
microarray analysis
multiple processors
parallel computing
vector processing
Language
ISSN
1094-687X
1558-4615
Abstract
An important goal of functional genomics is to develop methods for determining ways in which individual actions of genes are integrated in the cell. One way of gaining insight into a gene's role in cellular activity is to study its expression pattern in a variety of circumstances and contexts, as it responds to its environment and to the action of other genes. Microarrays provide large-scale surveys of gene expression in which transcript levels can be determined for thousands of genes simultaneously. The coefficient of determination (CoD) has been proposed for the analysis of gene interaction via multivariate expression arrays. Parallel computing is essential to the application of the CoD to a large set of genes because of the large number of expression-based functions that must be statistically designed and compared. The results of the calculation of the CoD for a large set of genes with multiple superscalar processors are presented. A proposal for calculating the CoD with multiple vector processors is described. Multiple vector processor systems offer the potential to greatly reduce the time to calculate the CoD for a large set of genes.