Motivation: A measurement of cluster quality is needed to choose potential clusters of genes that contain biologically relevant patterns of gene expressions....
The 6th International Symposium on Intelligent Data Analysis, 2005
High-throughput microarray data are extensively produced to study the effects of different treatments on cells and their behaviours. Understanding this data...
The advancement of omics technologies in concert with the enabling information technology development has accelerated biological research to a new realm in a...
The 18th European Conference on Machine Learning [Proceedings], 2007
This paper discusses the issue of dealing with large volume of high throughput genomics data and applying unsupervised multi-strategy methods to identify...
In species with exalbuminous seeds, the endosperm is eventually consumed and its space occupied by the embryo during seed development. However, the main...
International Journal of Computer Mathematics, 2 juillet 2007, Volume : 84, Numéro : 5
Identification of co-expressed genes sharing similar biological behaviours is an essential step in functional genomics. Traditional clustering techniques are...
The 16th European Conference on Artificial Intelligence (ECAI 2004) [Proceedings], 2004
The purpose of this study was to develop a method for identifying useful patterns in gene expression time-series data. We have developed a novel data mining...