Title: GE-Miner: integration of cluster ensemble and text mining for comprehensive gene expression analysis
Authors: Xiaohua Hu
Addresses: College of Information Science and Technology, Drexel University, PA19104, Philadelphia, USA
Abstract: Generating high quality gene clusters and identifying the underlying biological mechanism of the gene clusters are the important goals of clustering gene expression analysis. Based on this consideration, we design and develop a unified system Gene Expression Miner (GE-Miner) by integrating cluster ensemble, text clustering and multidocument summarisation and provide an environment for comprehensive gene expression data analysis. Experimental results demonstrate that our systems can obtain high quality clusters and provide concise and informative textual summary for the gene clusters.
Keywords: cluster ensemble; text mining; gene expression analysis; bioinformatics; GE-Miner.
International Journal of Bioinformatics Research and Applications, 2006 Vol.2 No.3, pp.325 - 338
Published online: 07 Aug 2006 *Full-text access for editors Access for subscribers Purchase this article Comment on this article