Gene expression computational analysis - a return to basics
Speaker: Prof Ajit Narayanan, University of Exeter, UK
When: 2003-06-27 14:00:00
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.
Type: ITEE Seminar
Contact:Dr Mikael Boden, seminar host (mikael@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)