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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...
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| Publicado no: | BMC Bioinformatics |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4247685/ https://ncbi.nlm.nih.gov/pubmed/25413436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0355-5 |
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