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 ...

Microarray Gene Expression Data Analysis: A Beginner's Guide by Helen Causton, John Quackenbush and Alvis Brazma is arguably the best of its kind in this regard. So who is the book aimed at?

Microarray expression profiling is instrumental to our understanding of the function of the genome. Resolution of functionally relevant expression patterns will require the analysis of large data ...

For biologists, DNA microarrays present at once unprecedented opportunities and monumental challenges. In the opportunities column, microarrays produce genome-wide gene expression snapshots, ...

The Microarray Gene Expression Data Society, also known as MGED, has taken the lead in establishing standards, which are starting to make data sharing easier.

Much of the promise of this genomic research relies on the comparison of microarray data generated in multiple facilities. However, the comparability of gene expression results is affected by a ...

Courtesy of CombiMatrix The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading ...

Two of the critical issues that arise when examining DNA microarray data are (1) determination of which genes best discriminate among the different types of tissue, and (2) characterization of ...

Patients and Methods Microarray analysis was performed on 14 normal oral epithelium and 71 HNSCCs from patients with outcome data. Spectral clustering (SC) analysis of the data set identified multiple ...

Check out the newest gene microarray results in the Alzheimer's brain, and see if they give a lift to some of your favorite hypotheses and molecular suspects. The study, by Eric Blalock, Philip ...