ITEE seminar: Prof Ajit Narayanan, 02.00PM, Fri 27 Jun 2003

Gene expression computational analysis - a return to basics

Speaker: Prof Ajit Narayanan, University of Exeter, UK

When: 02.00PM, Friday 27 Jun 2003

Venue: 78-420

Host: Dr Mikael Boden

Abstract:

  The use of gene chips and microarrays for measuring gene expression
  is becoming widespread and is producing enormous amounts of
  data. With increasing numbers of datasets becoming available, the
  need for well-defined and robust methods to mine this rich source of
  data grows.  However, clear computational and statistical strategies
  are yet to be defined, mainly because of the new challenges gene
  expression data presents to the data mining community.  There is a
  tendency for increasingly complex methods to be proposed. We
  evaluate the application of simple artificial neural networks for
  reducing the dimensionality of data and thereby allowing the
  extraction of rules from the reduced data set through traditional
  symbolic means. We also demonstrate how 'supergenes' can be
  extracted from combined gene expression datasets using our method.

Biography:

  Prof. Ajit Narayanan's interests have focused on artificial
  intelligence (AI) and the application of novel computational
  techniques to the solution of problems in AI and bioinformatics. He
  has published extensively in the areas of language animation,
  evolutionary computation, DNA and quantum computing, machine
  learning, bioinformatics and philosophy of mind. He has been Head of
  Department, Dean of Science, Dean of the Undergraduate Faculty and
  is currently Director of Bioinformatics at the University of Exeter.

Contact:

Dr Mikael Boden, seminar host (mikael@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator) (guido@itee.uq.edu.au)

ITEE seminar web page: http://www.itee.uq.edu.au/~seminar

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