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Derivative domain fitting: a new method for resolving a mixture of normal distributions in the presence of a
1Biology and Biotechnology Program, Lawrence Livermore National Laboratory, California 94550.
Cytometry
|January 1, 1993
Abstract:
Derivative domain least squares analysis is a new method for resolving multiple peaks superimposed on a slowly varying continuum into separate normal (Gaussian) distributions without developing a functional approximation for the continuum. The method is based on fitting the first derivative of the data with the first derivative of the sum of a series of normal distributions. A functional approximation for the continuum is not necessary as long as the first derivative of the continuum is approximately zero (i.e., the continuum varies slowly compared to the normal distributions).