Methodological Review: Towards knowledge-based gene expression data mining
Journal of Biomedical Informatics
Scoring and summarising gene product clusters using the Gene Ontology
International Journal of Data Mining and Bioinformatics
Scoring and summarising gene product clusters using the Gene Ontology
International Journal of Data Mining and Bioinformatics
Data mining of vector–item patterns using neighborhood histograms
Knowledge and Information Systems
Data-Fusion in Clustering Microarray Data: Balancing Discovery and Interpretability
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A go-driven semantic similarity measure for quantifying the biological relatedness of gene products
Intelligent Decision Technologies - Special issue on advances in medical intelligent decision support systems
On biological validity indices for soft clustering algorithms for gene expression data
Computational Statistics & Data Analysis
MiniMax ε-stable cluster validity index for Type-2 fuzziness
Information Sciences: an International Journal
A knowledge-driven method to evaluate multi-source clustering
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Incorporating biological domain knowledge into cluster validity assessment
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
| Hi-index | 3.84 |
Summary: This paper presents an approach to assessing cluster validity based on similarity knowledge extracted from the Gene Ontology. Availability: The program is freely available for non-profit use on request from the authors. Contact: nadia.bolshakova@cs.tcd.ie Supplementary information: http://www.cs.tcd.ie/Nadia.Bolshakova/GOtool.html