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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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Autori principali: Cai, Li, Huang, Haiyan, Blackshaw, Seth, Liu, Jun S, Cepko, Connie, Wong, Wing H
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2004
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC463327/
https://ncbi.nlm.nih.gov/pubmed/15239836
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2004-5-7-r51
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