800 search results - page 12 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
BMCBI
2006
13 years 7 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
BMCBI
2007
13 years 7 months ago
2007
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...