ENTROPY AS AN ALGORITHM FOR THE STATISTICAL DESCRIPTION OF DNA CYTOMETRIC DATA OBTAINED BY IMAGE-ANALYSIS MICROSCOPY

  • 1 April 1990
    • journal article
    • research article
    • Vol. 2  (3) , 159-165
Abstract
In an effort to obtain an additional statistical descriptor of DNA histograms we analyzed a concept from mathematical information theory, called entropy, which describes the information content of histograms irrespective of parametric or non-parametric distributions. For this study, 32 fine-needle biopsies were analyzed. It seems that the entropy of the DNA histogram is an extremely useful descriptor for the separation of distributions obtained from malignant tumors when compared with non-malignant lesions or normal controls.