A METHOD OF ANALYSIS OF COMPLEX METAMERIC ORGANISMS IN THE CLASS OF LOGICAL DECISION FUNCTIONS

A new method of statistical analysis of a complex metameric organism i s described. The method is based on logical decision functions. This m ethod makes it possible to analyze the variation of characters within an organism and to reveal statistical relationships reflecting the cha racteristics of its metameric structure. While most traditional algori thms deal with the characteristics of an organism as a whole, the sugg ested algorithm also takes into account the characteristics of all con stituent elements. This allows more fundamental statistical relationsh ips to be revealed. The method may be used in a wide range of genetic and other biological studies to analyze the behavior of the object stu died and to predict its properties.