A framework for generalized subspace pattern mining in high-dimensional datasets

BACKGROUND: A generalized notion of biclustering involves the identification of patterns across subspaces within a data matrix. This approach is particularly well-suited to analysis of heterogeneous molecular biology datasets, such as those collected from populations of cancer patients. Different de...

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Detalles Bibliográficos
Autor principal: Curry, Edward WJ
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247685/
https://www.ncbi.nlm.nih.gov/pubmed/25413436
http://dx.doi.org/10.1186/s12859-014-0355-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4247685/
https://www.ncbi.nlm.nih.gov/pubmed/25413436
http://dx.doi.org/10.1186/s12859-014-0355-5

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