475 search results - page 34 / 95 » Clustering cancer gene expression data: a comparative study |
178
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BMCBI
2007
15 years 6 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...
163
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BMCBI
2005
15 years 6 months ago
2005
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
162
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BMCBI
2008
15 years 6 months ago
2008
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
165
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BMCBI
2006
15 years 6 months ago
2006
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
155
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KDD
2003
ACM
16 years 6 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...