Currently, the EBI is assessing the suitability of different data mining algorithms to microarray gene expression data, e.g. neural networks, classification trees, market basket analysis ...

March 2004 Affymetrix Showcases Third-Party Microarray Analysis Software Like it or not, biologists have to deal increasingly in informatics as their experiments generate ever larger and more complex ...

Microarray analysis using these cDNAs revealed several types of unique gene regulation patterns, including: the transient expression of a set of genes during cell isolation, presumably induced by ...

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 ...

Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no comprehensive ...

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 ...

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 "large p, small n" paradigm arises in microarray studies, image analysis, high throughput molecular screening, astronomy, and in many other high dimensional applications. False discovery rate (FDR ...