209 search results - page 21 / 42 » Two-phase clustering strategy for gene expression data sets |
103
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EVOW
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
108
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BMCBI
2004
14 years 11 months ago
2004
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
EVOW
2005
Springer
15 years 5 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...
115
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BMCBI
2008
14 years 12 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
106
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BMCBI
2007
14 years 11 months ago
2007
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...