1674 search results - page 104 / 335 » Evaluation of clustering algorithms for gene expression data |
150
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BMCBI
2008
15 years 6 months ago
2008
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
240
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BMCBI
2007
15 years 6 months ago
2007
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
164
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BMCBI
2006
15 years 6 months ago
2006
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
201
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BMCBI
2007
15 years 6 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
131
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RECOMB
2010
Springer
16 years 1 months ago
2010
Springer
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...