Accounting for noise when clustering biological data
Accounting for noise when clustering biological data
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Publisher
England: Oxford Publishing Limited (England)
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Language
English
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Publisher
England: Oxford Publishing Limited (England)
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Contents
Clustering is a powerful and commonly used technique that organizes and elucidates the structure of biological data. Clustering data from gene expression, metabolomics and proteomics experiments has proven to be useful at deriving a variety of insights, such as the shared regulation or function of biochemical components within networks. However, ex...
Alternative Titles
Full title
Accounting for noise when clustering biological data
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TN_cdi_proquest_miscellaneous_1419364770
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1419364770
Other Identifiers
ISSN
1467-5463
E-ISSN
1477-4054
DOI
10.1093/bib/bbs057
