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Association Rule Based Similarity Measures for the Clustering of Gene Expression Data
In life threatening diseases, such as cancer, where the effective diagnosis includes annotation, early detection, distinction, and prediction, data mining and statistical approaches offer the promise for precise, accurate, and functionally robust analysis of gene expression data. The computational e...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Bentham Open
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096052/ https://www.ncbi.nlm.nih.gov/pubmed/21603179 http://dx.doi.org/10.2174/1874431101004010063 |