Seminar/Workshop Announcement
 
 



Neurocomputing for Bioinformatics

By

Prof Nikola Kasabov (PhD)
Knowledge Engineering and Discovery Research Institute (KEDRI)
Auckland University of Technology

Venue: LT 9
Date: 28 November 2003, Friday
Time: 3.30 - 4.30 pm


 

Abstract:
Neurocomputing (NC) is an area of computer science and engineering concerned with the development, implementation, realisation and application of computational models that mimic the functioning of the brain in its main functions of adaptive learning, predictive generalisation, and knowledge discovery. Applications span across all disciplines. This talk presents applications in Bioinformatics. The first part of the talk presents challenging problems in Bioinformatics. The second part presents solutions with the use of neurocomputing and hybrid methods that include also statistical methods, support vector machines, fuzzy logic and evolutionary computation. As < special methods for adaptive learning and data and knowledge integration, evolving connectionist systems (ECOS) are presented and applied [1]. Solutions are demonstrated with the use of a neurocomputing environment NeuCom (www.theneucom.com) developed by the Knowledge Engineering and Discovery Research Institute (KEDRI) (www.kedri.info). Applications in bioinformatics and medical decision support are presented, that includes: gene expression data analysis for cancer and other disease profiling; promoter recognition modelling gene regulatory networks; integrating gene and clinical data; cardio-vascular risk prognosis; renal function evaluation; ontology builder for bioinformatics; and others.
References [1] N.Kasabov, Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines, Springer Verlag, 2002 (www.springer.de) [2] Kasabov, N. and D. Dimitrov. A method for gene regulatory network modelling with the use of evolving connectionist systems. Proc. of ICONIP'2002 - International Conference on Neuro-Information Processing, Singapore, November 2002, IEEE Press (2002)

Speaker Nikola Kasabov, FRSNZ, FNZCS, Senior MIEE, PhD - Sofia, is Professor of Knowledge Engineering in the School of Computer and Information Sciences at the Auckland University of Technology, New Zealand, and the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI) (www.kedri.info). Previously he held Professor positions at the University of Otago and the Technical University in Sofia, Bulgaria. He has published more than 15 monograph and textbooks, 350 papers in refereed journals and conference proceedings, 28 patents. He is recipient of the Silver Medal for Science and Technology of the RSNZ, New Zealand. He is a board member of the Asia Pacific Neural Network Assembly (APNNA) and was its President in 1997/98. Kasabov is on the editorial boards of 7 international journals and has been on the PC of 50 international conferences in the last 5 years. He chaired the series of ANNES conferences (1993 - 2001).

 



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