Clustering analysis of SAGE data using a Poisson approach.
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ABSTRACT:
SUBMITTER: Cai L
PROVIDER: S-EPMC463327 | biostudies-literature | 2004
REPOSITORIES: biostudies-literature
Publications
Clustering analysis of SAGE data using a Poisson approach.
Cai Li L Huang Haiyan H Blackshaw Seth S Liu Jun S JS Cepko Connie C Wong Wing H WH
Genome biology 20040629 7
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 simulated and experimental mouse retina data show that the Poisson-based distances are more appropriate and reliable for analyzing SAGE data compared to other commonly used distances or similarity measu ...[more]
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