NDLI: Recurrent High Order Neural Networks for Identification of the EGFR Signaling Pathway

Content Provider	IEEE Xplore Digital Library
Author	Christodoulou, M.A. Zarkogianni, D.
Copyright Year	2006
Description	Author affiliation: Tech. Univ. Crete, Khania (Christodoulou, M.A.)
Abstract	The present work deals with a specific signaling pathway called EGFR pathway (epidermal growth factor receptor) which is composed of twenty three proteins and their interactions. It is an essential part of the cell since it affects metabolism, growth and dimerization. The pathway can be modelled by an autonomous ODE. The aim is the construction of a computational model which predicts the dynamic behavior of each protein in the EGFR pathway. The mathematical tool used, is the so called recurrent high order neural network (RHONN). RHONN is a recurrent neural network with dynamical components distributed throughout its body in the form of dynamical neurons. It is applicable for the identification of dynamical systems. The RHONN model consists of twenty three neurons and it is trained by a set containing various initial conditions and the dynamical output of each protein. We use three different learning algorithms concluding to three different RHONN models. When the training stops the appropriate weights are calculated and frozen so as to produce reliable models to identify the EGFR pathway
Starting Page	1
Ending Page	6
File Size	4606097
Page Count	6
File Format	PDF
ISBN	0978672011
DOI	10.1109/MED.2006.328819
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-28
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	MEDITERRANEAN CONTROL ASSOCIATION
Subject Keyword	Recurrent neural networks Automation Biological system modeling Recurrent High Order Neural Networks Identification Management training Equations EGFR Proteins Neural networks Signal processing Automatic control Kinetic theory
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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