component-resolved  diagnosis (crd) using microarray technology has recently been introduced  with the  aim to  improve diagnosis of allergy. the  aim of this study was to compare performance of this allergen microarray to those of an established extract-based skin prick testing (spt). 45  patients  with  allergic rhinitis  were studied  (16 children  and  29  adults). spt  to dermatophagoides ...

In this paper, we study the widely used nearest shrunken centroid classifier (NSC, also known as PAM) for microarray data from the supervised dimension reduction perspective. A simple modification is proposed and through application to public microarray data, we illustrate the favorable performance of the proposed method. Supplementary information can be found at http://www.biostat.umn. edu/~ba...

BACKGROUND Advances in molecular and computational biology have led to the development of powerful, high-throughput methods for analysis of differential gene expression, which are opening up new opportunities in genomic medicine. DNA microarray technology has been enthusiastically integrated into basic biomedical research and will eventually become a molecular monitoring tool for various clinic...

i n troduction: cancer is a major cause of mortality in the modern world, and one of the most important health problems in societies. during recent years, research on cancer as a system biology disease is focused on molecular differences between cancer cells and healthy cells. most of the proposed methods for classifying cancer using gene expression data act as black boxes and lack biological i...

Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene expression profiles based on different tissues, species, and conditions. Combining such vast amount of microarray data sets is an important and yet challenging problem. In this paper, we introduce a “correlation signature” method...

Increasing the sensitivity in DNA microarray hybridization can significantly enhance the capability of microarray technology for a wide range of research and clinical diagnostic applications, especially for those with limited sample biomass. To address this issue, using reverse microemulsion method and surface chemistry, a novel class of homogenous, photostable, highly fluorescent streptavidin-...

The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging-related expression patterns in multiple organisms and under different conditions. The number of relevant studies continues to increase rapidly. However, efficient exploitation of these vast data is frustrated by the l...

To facilitate collaborative research efforts between multiinvestigator teams using DNA microarrays, we identified sources of error and data variability between laboratories and across microarray platforms, and methods to accommodate this variability. RNA expression data were generated in seven laboratories, which compared two standard RNA samples using 12 microarray platforms. At least two stan...

MOTIVATION A major focus of current cancer research is to identify genes that can be used as markers for prognosis and diagnosis, and as targets for therapy. Microarray technology has been applied extensively for this purpose, even though it has been reported that the agreement between microarray platforms is poor. A critical question is: how can we best combine the measurements of matched gene...