Speeding up the Consensus Clustering methodology for microarray data analysis
Speeding up the Consensus Clustering methodology for microarray data analysis
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England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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The inference of the number of clusters in a dataset, a fundamental problem in Statistics, Data Analysis and Classification, is usually addressed via internal validation measures. The stated problem is quite difficult, in particular for microarrays, since the inferred prediction must be sensible enough to capture the inherent biological structure i...
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Speeding up the Consensus Clustering methodology for microarray data analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_cbf1d67da9ea4425a3175e56603f8317
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbf1d67da9ea4425a3175e56603f8317
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ISSN
1748-7188
E-ISSN
1748-7188
DOI
10.1186/1748-7188-6-1