Data Clustering and Bioinformatics
A special Session of CIBB 2009
15-17 October - Genova (Italy)
Traditionally Data Clustering has played a key role in any attempt to
transform data to knowledge. Over the past few decades rapid
developments in genomic and other molecular research technologies
coupled with developments in information technologies, have produced a
tremendous amount of data related to molecular biology. As a natural
consequence, a lot of research has been devoted to the adoption of Data
Clustering methods to analyse this new wealth of data. In this stream the
Data Clustering and Bioinformatics Special session
as part of the 2009 International Meeting on Computational Intelligence
Methods for Bioinformatics AND Biostatistics, aim to act as a forum for
new ideas and paradigms of Data Clustering approaches to the analysis of
biological data.
Technical areas addressed by CIBB 2009 include, but are not limited to:
* Feature, and phenotype discovery, class discovery
* Gene expression clustering
* Subspace clustering
* Biclustering
* Iterative feature selection and data clustering - Gene Shaving
* Clustering/classification of bioimages or patterns derived from
bioimages
* Curse of dimensionality and microarray data clustering
* Cluster visualisation and bioinformatics
More Details at: http://stats.ma.ic.ac.uk/d/dtasouli/public_html/dcb2009/
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