Log in to save to my catalogue

Speeding up the Consensus Clustering methodology for microarray data analysis

Speeding up the Consensus Clustering methodology for microarray data analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbf1d67da9ea4425a3175e56603f8317

Speeding up the Consensus Clustering methodology for microarray data analysis

About this item

Full title

Speeding up the Consensus Clustering methodology for microarray data analysis

Publisher

England: BioMed Central Ltd

Journal title

Algorithms for molecular biology, 2011-01, Vol.6 (1), p.1-1, Article 1

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Speeding up the Consensus Clustering methodology for microarray data analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cbf1d67da9ea4425a3175e56603f8317

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbf1d67da9ea4425a3175e56603f8317

Other Identifiers

ISSN

1748-7188

E-ISSN

1748-7188

DOI

10.1186/1748-7188-6-1

How to access this item