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Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection
BACKGROUND: Many variable selection techniques have been proposed for the clustering of gene expression data. While these methods tend to filter out irrelevant genes and identify informative genes that contribute to a clustering solution, they are based on criteria that do not consider the potential...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4035826/ https://ncbi.nlm.nih.gov/pubmed/24885641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-153 |
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