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.

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?

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 ...

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 ...

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.

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 ...

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 ...