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Scalable biclustering — the future of big data exploration?
Biclustering is a technique of discovering local similarities within data. For many years the complexity of the methods and parallelization issues limited its application to big data problems. With the development of novel scalable methods, biclustering has finally started to close this gap. In this...
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| Publicado no: | Gigascience |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6598466/ https://ncbi.nlm.nih.gov/pubmed/31251324 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz078 |
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