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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...
保存先:
| 出版年: | BMC Bioinformatics |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2014
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| 主題: | |
| オンライン･アクセス: | 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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