(1) Biometric Research Branch, National Cancer Institute, Rockville, USA
Abstract:
Background
Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most
current methods for clustering samples are based on distance metrics utilizing all genes. This has the effect of obscuring
clustering in samples that may be evident only when looking at a subset of genes, because noise from irrelevant genes dominates
the signal from the relevant genes in the distance calculation.