Revisiting the Michaelis-Menten model
This post revisits the Michaelis-Menten model.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
Tag scipy
Solving non linear ODE system
In this article we show how to symbolically and numerically solve a system of non linear ODE.
Find the closest points to a specific location using KD Tree
In this article we show how KD Tree works and how Voronoi diagram are linked with it by answering a simple question: given a set of reference points (points of interests), find for any point (location) the closet points wrt…
Compute Acid/Base Partition functions
This post shows how to derive Acid/Base Partition functions using analytical chemistry and conversely how to determine pH of a mixture of poly-acid with given initial concentrations and pKa.
Solving the Ballistic problem with Drag Force
This post shows how to solve the Ballistic problem with Drag Force taken into account.
Animated double pendulum
This post shows how to create an animated double pendulum with scipy and matplotlib.
Fit multiple Lorentzian peaks from spectrogram
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.
Adjustments of a statistical distribution
This post shows how to adjust statistical distribution on a random sampled dataset and assess precision of regressed parameters. Synthetic dataset We create a synthetic dataset by sampling random values from a Log Normal law: We also create a support…
Simultaneously adjust multiple kinetics
In this post we show how we can fit simultaneously multiple kinetics from ODE system using the scipy package. That is, we will regress parameters from multiples curves described by a dynamic system at once. To reach that goal, we…
Adjustment of an ordinary differential equation
This post shows how ODE parameters as well as initial condition can be adjusted to experimental data using Python. Adjusting ODE parameters is good topic to introduces specific methodology such as parameter normalization and sample bootstrapping.