Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations

A container for all enzyme constrained models created by GECKO.

Diversity-based enumeration of optimal context-specific metabolic networks

Gaussian process regression model to predict energy of corn sample for poultry given levels of chemical compositions

Physically Based Modelling of Cirdadian Glucose Dynamics

Repository for yeasts MFA related files

This Python program translates R123 dye fluorescence signals into mitochondrial membrane potential (in mV). The tool provides a streamlined and accurate approach for researchers to quantify membrane potential based on dye intensity, aiding in mitochondrial function studies.

Collection of scripts for reproduction of simulation results in "Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0".

Integrating the transcriptional regulatory network with genome-scale metabolic models.

Supplementary code and results from doi:10.1101/2020.02.20.957662

Connectivity between molecular components and metabolic subsystems in humanGEM

Through the prediction it is possible to predict, starting from the knowledge of the parameters, the evolution temporal blood glucose. Once the accuracy of the model has been verified, it is also possible to start from data from an IVGTT test and to trace the estimate of the glucose effectiveness and insulin sensitivity paramete