Projects per year
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible. However, when each cluster in a partition has a signature and it is known that some signatures are of scientific interest whilst others are not, it is possible, within a Bayesian framework, to develop search algorithms which are guided by these cluster signatures. Such algorithms can be expected to find better partitions more quickly. In this paper we develop a framework within which these ideas can be formalized. We then briefly illustrate the efficacy of the proposed guided search on a microarray time coursed at a set where the clustering objective is to identify clusters of genes with different types of circadian expression profiles.
|Number of pages||34|
|Publication status||Published - 2009|
- Circadian Rhythms
- Biological Clocks
- Arabidopsis thaliana
- Bayesian inference
FingerprintDive into the research topics of 'Efficient Utility-based Clustering over High Dimensional Partition Spaces'. Together they form a unique fingerprint.
- 1 Finished
Modelling circadian gene regulation in Arabidopsis thaliana
1/03/05 → 30/09/06