This project implements a 5th degree polynomial curve-fitting algorithm using gradient descent. Given seven y-values sampled at x ∈ {−3, −2, −1, 0, 1, 2, 3 ...

Abstract: In the process of curve fitting, the unknown relationship between the data sampling rate and the frequency of the measured signal as well as signal's ...

Curve fitting is ubiquitous in the analysis of biological data. For example, super-resolution images reconstructed during image analysis in single-molecule localization microscopy (SMLM) can require ...

ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...