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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...
Autor principal: | Curry, Edward WJ |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
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 |
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