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 ...

Substrates for microarray analysis must provide stable attachment of array elements, low background signals, homogeneous surface chemistry and high-quality data.

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 ...

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.

VIA™ 7.2 transforms the workflow for optical genome mapping (OGM) data analysis with AI in constitutional genetic disorders VIA 7.2 supercharges the OGM heme workflow by allowing AI to utilize a ...