746 search results - page 28 / 150 » Clustering of Gene Expression Data: Performance and Similari... |
EVOW
2005
Springer
15 years 3 months ago
2005
Springer
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
105
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BMCBI
2008
14 years 9 months ago
2008
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
85
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BMCBI
2008
14 years 9 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
VLDB
2004
ACM
15 years 3 months ago
2004
ACM
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
BMCBI
2008
14 years 9 months ago
2008
Background: Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual g...