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?

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

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 ...

Microarray data is to gene expression what genomic sequences are to molecular biology—a wonderful collection of information to have, but where, or how, does one start analyzing it? Fortunately ...

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 ...

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

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 ...

Unsupervised hierarchical clustering (UHC) analysis is a common method to profile the molecular expression of tissue microarray data. Methods: TM4: a free, open-source system for microarray data ...

Last year, researchers led by Paul Coleman at the University of Rochester, New York, reported a microarray analysis of five AD brains which indicated that genes involved in trafficking synaptic ...