https://www.selleckchem.com/pr....oducts/lificiguat-yc
Inferring the direct relationships between biomolecules from omics datasets is essential for the understanding of biological and disease mechanisms. Gaussian Graphical Model (GGM) provides a fairly simple and accurate representation of these interactions. However, estimation of the associated interaction matrix using data is challenging due to a high number of measured molecules and a low number of samples. In this paper, we use the thermodynamic entropy of the non-equilibrium system of molecules and the data-driven constraints