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 ...

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 ...

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 ...

Bioinformatics-analysis division is a division of CD Genomics, which provides reliable next-generation and third-generation high-throughput sequencing data analysis, comprehensive technology services, ...

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 ...

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 ...

Gene expression Microarray data covers both signal (active key genes) and noise. A tentative to recognize any genes expression pattern without clearing the data is like recognizing faces and details ...

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: ...