Correlation of expression between different IMAGE clones from the same UniGene cluster

Through the use of DNA microarray it is now possible to obtain quantitative measurements of the expression of thousands of genes present in a biological sample. DNA arrays yield a global view of gene expression and they can be used in a number of interesting ways. In this paper we are investigating an approach for studying the correlations between different clones from the same UniGene cluster. We will explore all possible couples of clones valuing the linear relations between the expression of these sequences. In this way, we can obtain several results: for example we can estimate measurement errors, or we can highlight genetic mutations. The experiments were done using a real dataset, build from 161 microarray experiments about Hepatocellular Carcinoma. © Springer-Verlag Berlin Heidelberg 2004