We define 1 st -order expression analysis as the extraction of expression patterns from one microarray data set, which contains a set of expression profiles measured under relevant conditions.

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 ...

Computational techniques for sequence annotation provide invaluable clues to gene structure and function but experimental data will be required to provide a full and satisfying picture.

Microarray technology allows the simultaneous monitoring of expression levels of thousands of genes and even whole genomes. But the experiments themselves represent only the opening act. The grand ...

DNA microarray analysis was first described in the mid-1990s as a means to probe the expression of thousands of genes simultaneously 1,2 and was quickly adopted by the research community for the ...

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 ...

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer-associated genes.

A multidisciplinary team of pharmaceutics and computer-science researchers at the University at Buffalo, one of very few teams in the nation applying DNA microarray technology in studies of multiple ...

Bionano Announces Upgrades to its Software and Compute Platforms to Make Analysis of OGM, Microarray and NGS Data Easier, Faster and More Accurate ...

See related Hot Paper, "The Rise of Free, Global Gene Expression Data Sets". The rapid-fire advances in molecular biology, genetics, automation, and microarray analysis are a constant boon to drug ...