Conferences in Research and Practice in Information Technology
  

Online Version - Last Updated - 20 Jan 2012

 

 
Home
 

 
Procedures and Resources for Authors

 
Information and Resources for Volume Editors
 

 
Orders and Subscriptions
 

 
Published Articles

 
Upcoming Volumes
 

 
Contact Us
 

 
Useful External Links
 

 
CRPIT Site Search
 
    

We wish you a happy and safe holiday season and all the best for 2025


Kernel-based Visualisation of Genes with the Gene Ontology

Ghous, H., Kennedy, P.J., Catchpoole, D.R. and Simoff, S.J.

    With the development of microarray-based high-throughput technologies for examining genetic and biological information en masse, biologists are now faced with making sense of large lists of genes identified from their biological experiments. There is a vital need for "system biology" approaches which can allow biologists to see new or unanticipated potential relationships which will lead to new hypotheses and eventual new knowledge. Finding and understanding relationships in this data is a problem well suited to visualisation. We augment genes with their associated terms from the Gene Ontology and visualise them using kernel Principal Component Analysis with both specialised linear and Gaussian kernels. Our results show that this method can correctly visualise genes by their functional relationships and we describe the difference between using the linear and Gaussian kernels on the problem.
Cite as: Ghous, H., Kennedy, P.J., Catchpoole, D.R. and Simoff, S.J. (2008). Kernel-based Visualisation of Genes with the Gene Ontology. In Proc. Seventh Australasian Data Mining Conference (AusDM 2008), Glenelg, South Australia. CRPIT, 87. Roddick, J. F., Li, J., Christen, P. and Kennedy, P. J., Eds. ACS. 133-140.
pdf (from crpit.com) pdf (local if available) BibTeX EndNote GS
 

 

ACS Logo© Copyright Australian Computer Society Inc. 2001-2014.
Comments should be sent to the webmaster at crpit@scem.uws.edu.au.
This page last updated 16 Nov 2007