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ERIC Number: ED299130
Record Type: Non-Journal
Publication Date: 1979-Aug
Pages: 340
Abstractor: N/A
Theory and Application of DNA Histogram Analysis.
Bagwell, Charles Bruce
The underlying principles and assumptions associated with DNA histograms are discussed along with the characteristics of fluorescent probes. Information theory was described and used to calculate the information content of a DNA histogram. Two major types of DNA histogram analyses are proposed: parametric and nonparametric analysis. Three levels of parametric analysis are presented: crude stripping, pattern recognition adjustment, and multirectangle nonlinear least squares analysis. The multirectangle method's assumptions were substantiated with theoretical justifications and biological experiments. Methods of optimal smoothing, capping, translocation, and doublet correction are also discussed. The statistical comparison of groups of histograms, nonparametric analysis, is introduced and applied to the clinical problem of parathyroid disease. (Author)
Publication Type: Reports - Research; Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A