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Defining an informativeness metric for clustering gene expression data
Motivation: Unsupervised ‘cluster’ analysis is an invaluable tool for exploratory microarray data analysis, as it organizes the data into groups of genes or samples in which the elements share common patterns. Once the data are clustered, finding the optimal number of informative subgroups within a...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Oxford University Press
2011
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3072547/ https://ncbi.nlm.nih.gov/pubmed/21330289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr074 |
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