Background Clustering is crucial for gene expression data analysis. As an unsupervised
exploratory procedure its results can help researchers to gain insights and formulate new …

DNA microarray technology has now made it possible to simultaneously monitor the
expression levels of thousands of genes during important biological processes and across …

Motivation: Microarray technology has been widely applied in biological and clinical studies
for simultaneous monitoring of gene expression in thousands of genes. Gene clustering …

The analysis of microarray data is essential for large amounts of gene expression data. In
this review we focus on clustering techniques. The biological rationale for this approach is …

Cluster analysis is usually the first step adopted to unveil information from gene expression
microarray data. Besides selecting a clustering algorithm, choosing an appropriate proximity …

Background A cluster analysis is the most commonly performed procedure (often regarded
as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is …

Motivation: Because co-expressed genes are likely to share the same biological function,
cluster analysis of gene expression profiles has been applied for gene function discovery …

Within the field of genomics, microarray technologies have become a powerful technique for
simultaneously monitoring the expression patterns of thousands of genes under different …

Motivation: With the advent of microarray chip technology, large data sets are emerging
containing the simultaneous expression levels of thousands of genes at various time points …

Background The use of clustering methods for the discovery of cancer subtypes has drawn a
great deal of attention in the scientific community. While bioinformaticians have proposed …