Alexandru George Floares

Learn More
Modern pharmacology, combining pharmacokinetic, phar-macodynamic, and pharmacogenomic data, is dealing with high dimensional , nonlinear, stiff systems. Mathematical modeling of these systems is very difficult, but important for understanding them. At least as important is to adequately control them through inputs-drugs' dosage regimens. Genetic programming(More)
Abshacf-Pharmacogenomic systems (PG) are very high dimensional , nonlinear, and stiff systems. Mathematical modeling of these systems, as systems of nonlinear coupled ordinary differential equations (ODE), is considered important for understanding them; unfortunately, it is also a very difficult task. At least as important is to adequately control them(More)
MicroRNAs (miRNAs) are small, noncoding RNA species with a length of 20-22 nucleotides that are recognized as essential regulators of relevant molecular mechanisms, including carcinogenesis. Current investigations show that miRNAs are detectable not only in different tissue types but also in a wide range of biological fluids, either free or trapped in(More)
Modeling neural networks with ordinary differential equations systems is a sensible approach, but also very difficult. This paper describes a new algorithm based on linear genetic programming which can be used to reverse engineer neural networks. The RODES algorithm automatically discovers the structure of the network, including neural connections, their(More)
  • 1