The wide range of methods for analysing microarray data can seem bewildering to researchers. This Review provides a guide to statistical analysis for the different stages of a microarray ...

Clustering All Renal Cell Carcinoma Patients. To explore whether the tissue microarray data can be used to identify fundamental subtypes of renal cell carcinoma patients, we first carried out ...

Microarray analysis is a tool that can be used to compare the RNA profile of one cancer with that of another and to determine the ... Programs that perform clustering generally order the ...

The article by Thurlow et al entitled, "Spectral Clustering of Microarray Data Elucidates the Roles of Microenvironment Remodeling and Immune Responses in Survival of Head and Neck Squamous Cell ...

A new computer program is helping genomic researchers to make sense of the reams of data—a massive collection of numbers and decimals—that result from using DNA microarrays, the widespread ...

In support of this hypothesis, we found an enrichment 19 of two classes of T-cell transcripts within the gene cluster characteristic of AR-I: 15 of 23 T-cell–specific transcripts 20 (P<0.001 for ...

Although not necessarily based on a gene-specific mechanistic hypothesis, good gene-expression profiling experiments should be planned and conducted with a clear objective, design and statistical ...

Expert Rev Mol Diagn. 2013;13(6):601-611. In other situations, normal microarray analysis in the presence of an abnormal karyotype, such as marker chromosomes, is reassuring, as it indicates that ...