We examine emerging consensus points for five key components of microarray analysis — design, preprocessing, inference, classification and validation. Biological replication is important in the design ...

Although the superiority of expression-based biomarkers, as compared with traditional clinical staging, has been disputed, 33 a nationwide clinical trial is under way in the Netherlands in which ...

The field of DNA microarray data analysis is getting increasingly complicated as scientists develop new array technologies and analysis algorithms, yet accurate introductory information on the subject ...

Genetic abnormalities have been associated with 6 to 13% of stillbirths, but the true prevalence may be higher. Unlike karyotype analysis, microarray analysis does not require live cells, and it ...

A microarray is a two-dimensional arrangement of biological samples allowing for high-throughput analysis of genetic information. DNA microarrays are commonly used to genotype multiple regions of a ...

Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...