Our meta-analysis revealed that the pancreatic cancer gene expression data sets shared a significant number of up- and downregulated genes, independent of the technology used.

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 ...

Because microarray assays can analyze the expression of multiple genes in parallel, they have been proposed as a robust test method for diagnostic usage in a clinical laboratory. However, published ...

The application of the proposed method is demonstrated using three public microarray data sets. The performance of our proposed method is contrasted to two other existing Gene Set Enrichment Analysis ...

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 ...

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

Courtesy of CombiMatrix The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading ...

Two of the critical issues that arise when examining DNA microarray data are (1) determination of which genes best discriminate among the different types of tissue, and (2) characterization of ...

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 ...

And yet, longstanding doubts persist as to the worth of the torrent of data that microarrays produce. Experiments have proved difficult to reproduce, and the lists of genes found in similar studies ...