researcher to draw conclusions about the degree of correlation and also allows the researcher to cut down the list of genes to a reasonable number to facilitate further investigations hyperquantitative tissue analysis representing a rich set of structural features of the tissue is an important prerequisite to run this type of correlation because it is not known prior to the analysis which of the features are markers of the treatment or disease the relation between gene expression and hyperquantitative tissue feature data may be linear or non linear in synchronous or asynchronous arrangements one way of detecting asynchronies is demonstrated in fig3 this figure shows minkowski distances of gene expression values and feature expression values between animals in the control treated and control vs treated groups fig3 a b and c show data from animals sacrificed at day 4 day 7 and day 14 respectively asynchronies in relations of gene expression to tissue feature expression are revealed and outliers are detected for the determination of minkowski distances the difference of all parameters such as all gene expression values between two animals such a control and a treated animal are determined after normalization of the data as described above minkowski distances for the gene data were plotted against the minkowski distance of the hyper quantitative tissue features on a animal to animal basis straight lines on each plot indicate the regression of the combined set of data comparing fig2 a through 2 c demonstrates.