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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Detalles Bibliográficos
Autores principales: Cai, Li, Huang, Haiyan, Blackshaw, Seth, Liu, Jun S, Cepko, Connie, Wong, Wing H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/
https://www.ncbi.nlm.nih.gov/pubmed/15239836
http://dx.doi.org/10.1186/gb-2004-5-7-r51

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/
https://www.ncbi.nlm.nih.gov/pubmed/15239836
http://dx.doi.org/10.1186/gb-2004-5-7-r51

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