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DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach
BACKGROUND: The analysis of massive high throughput data via clustering algorithms is very important for elucidating gene functions in biological systems. However, traditional clustering methods have several drawbacks. Biclustering overcomes these limitations by grouping genes and samples simultaneo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3152888/ https://www.ncbi.nlm.nih.gov/pubmed/21699691 http://dx.doi.org/10.1186/1748-7188-6-18 |