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 ...

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 ...

We have previously published a suite of software tools that facilitates the reformulation of tissue microarray (TMA) data so that it may be analyzed using techniques originally devised for analysis of ...

Illumina, Inc., has announced the launch of Illumina Connect, a bioinformatics software partnership program established to advance data integration and analysis. This program offers Illumina customers ...

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 ...

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 ...

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 ...

A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no single ...

The subsets of genes best characterizing each dose were identified by resampling the original data set and calculating the intersection of the dose signatures. This analytical strategy minimizes the ...

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 ...