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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...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Bentham Open
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3096052/ https://ncbi.nlm.nih.gov/pubmed/21603179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2174/1874431101004010063 |
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