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 ...

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 ...

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 ...

Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...

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 ...

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 ...

Consider the ranking of genes using data from replicated microarray time course experiments, where there are multiple biological conditions, and the genes of interest are those whose temporal profiles ...

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, ...

Oxygen saturation measured in vivo in bronchial tumors during bronchoscopy in patients with lung cancer using differential path length spectroscopy (DPS) correlates with survival, stage of the disease ...

Pune, Maharashtra, India, September 17 2020 (Wiredrelease) MarketResearch.Biz –:An extensive and elaborate primary research on Global Microarray Market report sheds light on numerous facets such as ...