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.

We are developing software applications to perform meta-analysis of microarray experiments based on standardized experiment annotations aiming to identify similar experiments and cluster experiments.

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 ...

Daniel R. Rhodes, Jianjun Yu, K. Shanker, Nandan Deshpande, Radhika Varambally, Debashis Ghosh, Terrence Barrette, Akhilesh Pandey, Arul M. Chinnaiyan, Patrick O. Brown, Large-Scale Meta-Analysis of ...

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 ...

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 ...

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 ...

The present paper describes statistical methods for the identification of differentially expressed genes in replicated cDNA microarray experiments. Although it is not the main focus of the paper, new ...

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

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