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108
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BMCBI
2008
15 years 24 days 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...
107
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BMCBI
2007
15 years 24 days ago
2007
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
113
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BMCBI
2008
15 years 24 days ago
2008
Background: As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A ...
107
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BMCBI
2010
15 years 24 days ago
2010
Background: The use of ontologies to control vocabulary and structure annotation has added value to genomescale data, and contributed to the capture and re-use of knowledge across...
114
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BMCBI
2008
15 years 24 days 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...