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 ...

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 technology represents a unique approach to microarray analysis, enabling optimal signal-to-background ratio for biotin-labeled molecules, according to Margit Stadler, Ph.D., product line manager.

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 ...

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 ...

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 ...

TheChina Microarray Market Analysis Report 2024-2031: Use of Microarrays in Forensics and Growing Adoption of 3D-printed Microarrays Impact on the $900+ Million Industry - ResearchAndMarkets.com ...