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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598466/ https://www.ncbi.nlm.nih.gov/pubmed/31251324 http://dx.doi.org/10.1093/gigascience/giz078 |