Cluster validation techniques for genome expression data

Cluster validation techniques for genome expression data

Several clustering algorithms have been suggested to analyse genome expression data, but fewer solutions have been implemented to guide the design of clusteringbased experiments and assess the quality of their outcomes. A cluster validity framework provides insights into the problem of predicting the correct the number of clusters. This paper presents several validation techniques for gene expr...

Machaon CVE: cluster validation for gene expression data

UNLABELLED This paper presents a cluster validation tool for gene expression data. Machaon CVE (Clustering and Validation Environment) system aims to partition samples or genes into groups characterized by similar expression patterns, and to evaluate the quality of the clusters obtained. AVAILABILITY The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.B...

A cluster validity framework for genome expression data

This paper presents a method for the assessment of expression cluster validity.

Validation in the Cluster Analysis of Gene Expression Data

Comparisons and validation of statistical clustering techniques for microarray gene expression data

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 during a biological process. Biologists are attempting to group genes based on the temporal pattern of their expression levels. While the use of hierarchical clustering (UPGMA) with correlation 'distance' has been the m...