In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a single ...

Microarrays permit the analysis of gene expression, DNA sequence variation, protein levels, tissues, cells and other biological and chemical molecules in a massively parallel format. Robust microarray ...

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 ...

Microarray data analysis has been the subject of extensive and ongoing pipeline development due to its complexity, the availability of several options at each analysis step, and the development of new ...

Expression Analysis says it has completed a significant milestone in a “mock-submission of microarray data” being prepared for the FDA. The company also has named Thomas Goralski as laboratory ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

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 ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

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: ...

This study aims to identify potential biomarkers of hepatocellular carcinoma (HCC) occurrence/recurrence and obesity, along with the molecular mechanisms that involve these biomarkers. Three ...