NDLI: Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Floares, A.G.
Copyright Year	2006
Description	Author affiliation: Oncological Inst. Cluj-Napoca, Cluj-Napoca (Floares, A.G.)
Abstract	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 through inputs, which are drugs' dosage regimens. In this paper, we investigate new approaches based on compuational intelligences tools - genetic programming (GP), and neural networks (NN) - for these difficult tasks. We use GP to automatically write the model structure in a computer programming language (C++) and to optimize the model's constants. In some circumstances, the proposed methods not only give an accurate mathematical model of the PG system, but they also give insights into the subjacent molecular mechanisms. We also show that NN feedback linearization (FBL) can adequately control these systems, with or without a mathematical model. The drug dosage regimen will determine the output of the system to track very well a therapeutic objective. To our knowledge, this is the first time when a very large class of complex pharmacological problems are formulated and solved in terms of GP modeling and NN modeling and control.
Starting Page	3820
Ending Page	3827
File Size	247809
Page Count	8
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer networks Intelligent networks Competitive intelligence Control system synthesis Genetic programming Neural networks Mathematical model Drugs Couplings Differential equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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