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). © 1993 Wiley‐Liss, Inc.
Original language | English (US) |
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Pages (from-to) | 510-518 |
Number of pages | 9 |
Journal | Cytometry |
Volume | 14 |
Issue number | 5 |
DOIs | |
State | Published - 1993 |
Externally published | Yes |
Keywords
- Normal mixture decomposition
- background continuum
- bivariate distributions
- chromosomes
- flow karyotype
ASJC Scopus subject areas
- Pathology and Forensic Medicine
- Biophysics
- Hematology
- Endocrinology
- Cell Biology