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ICGE: an R package for detecting relevant clusters and atypical units in gene expression
BACKGROUND: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expr...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3364157/ https://ncbi.nlm.nih.gov/pubmed/22330431 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-30 |
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