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 ...

ST. LOUIS, MO--(Marketwired - March 08, 2016) - On 2015 Partek scientists answered over 12,000 questions from researchers around the world and trained an additional 3,000 plus researchers through ...

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 ...

Microarrays first appeared on the scene around 1995, and it was not long before their use became quite widespread. Early analyses were modelled on those of the pioneers. By around 2000, however, ...

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 ...

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 ...

The current standard correlation coefficient used in the analysis of microarray data was introduced by M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein ...

Spotfire, Inc. has announced DecisionSite® for Microarray Analysis (DSMA), which gives drug makers a competitive advantage in quickly and accurately identifying potential drug targets. DSMA, available ...

This is a preview. Log in through your library . Abstract Selection of significant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of ...