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 ...

Investigators have two important questions to consider when evaluating microarray expression data. First, they must ask whether the results are valid—in other words, accurate—for the particular ...

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 ...

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 ...

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 [(1998) Proc. Natl. Acad. Sci. USA 95, ...

Like it or not, biologists have to deal increasingly in informatics as their experiments generate ever larger and more complex data sets. Few laboratories have the resources to develop their own ...

Dublin, Jan. 02, 2025 (GLOBE NEWSWIRE) -- The "Europe Microarray Analysis Market: Focus on Product, Type, Application, End User, and Country Level Analysis - Analysis and Forecast, 2023-2033" report ...