title: Non-linear regression models to estimate the size of DNA fragments.
abstract: The least-squares, hyperbolic regression model is frequently used to estimate the size of unknown DNA fragments. This model avoids problems associated with semilog-plot interpolation, is computationally easy to use and provides an excellent fit to many experimental data sets. However, the methods commonly used to solve the hyperbolic regression model perform an inappropriate linearization of the original non-linear model. In this note, we describe advantages offered by standard, non-linear regression techniques, and provide computer code for a common statistical package to do these analyses.
authors.affiliation: Department of Biology, New Mexico State University, Las Cruces 88003, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Cain
authors.forename: L W
authors.initials: LW
authors.lastname: Murray
mesh_terms: D000465:Algorithms; D004247:DNA / Q000032:analysis*; D017711:Nonlinear Dynamics; D012044:Regression Analysis
chemical_list: D004247:DNA