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Clustering analysis of SAGE data using a Poisson approach
Serial analysis of gene expression (SAGE) data have been poorly exploited by clustering analysis owing to the lack of appropriate statistical methods that consider their specific properties. We modeled SAGE data by Poisson statistics and developed two Poisson-based distances. Their application to si...
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| Publicado no: | Genome Biol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC463327/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15239836/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2004-5-7-r51 |
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