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A comparative analysis of biclustering algorithms for gene expression data
The need to analyze high-dimension biological data is driving the development of new data mining methods. Biclustering algorithms have been successfully applied to gene expression data to discover local patterns, in which a subset of genes exhibit similar expression levels over a subset of condition...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3659300/ https://ncbi.nlm.nih.gov/pubmed/22772837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbs032 |
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