  In this paper, we consider a series of events observed at spaced time
intervals and present a method of representation of the series. To explain an
idea, by dealing with a set of gene expression data, which could be obtained
from developmental biology, the procedures are sketched with comments in some
details. We mean representation by choosing a proper function, which fits well
with observed data of a series, and turning its characteristics into numbers,
which extract the intrinsic properties of fluctuating data. With help of a
machine learning techniques, this method will give a classification of
developmental biological data as well as any varying data during a certain
period and the classification can be applied for diagnosis of a disease.
