BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…GEM-guided predictions of growth phenotypes rely on the accurate definition of a biomass objective function (BOF) that is designed to include key cellular biomass components such as the major macromolecules (DNA, RNA, proteins), lipids, coenzymes, inorganic ions and species-specific components. …"

Code حسب Baoqiang Chen (21099509)

"…The first fully connected layer consists of 880 input neurons and 512 output neurons, with a ReLU activation function and a dropout rate of 10% applied to prevent overfitting. …"

Core data حسب Baoqiang Chen (21099509)

"…The first fully connected layer consists of 880 input neurons and 512 output neurons, with a ReLU activation function and a dropout rate of 10% applied to prevent overfitting. …"