Two structure-based antibacterial activity classification models have been generated.
For this reason, numerous animal models have been generated to elucidate the pathophysiology of this disorder.
A collection of models have been generated that harbor specific alterations in ligands, receptors, and the binding protein.
Since several years genetically engineered mouse models have been generated which develop tumors that closely resemble cancer in humans.
SMA is caused by mutations of the survival of motor neuron gene that encodes a multifunctional protein, and mouse models have been generated.
Many transgenic mouse models have been generated by manipulating growth factors and their receptors, cell cycle regulators, signal transduction pathways, cellular differentiation, oncogenes and tumor suppressor genes.
Many genetically engineered and allografted mouse models have been generated these past 30 years to investigate the mechanisms of PPGL tumorigenesis and test new therapeutic strategies.
For functional analyses of specific roles of these systems, numerous mouse models have been generated which lack or overexpress individual signal transduction components.
All models have been generated from feature vectors containing 39 mel-frequency cepstral (MFC) coefficients, where each of four states had been modeled by 32 Gaussian mixtures.
Firstly, we use such models to simulate trajectories of x t defined in Example 2. Specifically, 50,000 trajectories of both models have been generated via Montecarlo simulation.
Estimated models have been generated through the multi-variable linear regression analysis for the consumption of each of the primary fuels considered in this study.
