Clustering analysis of SAGE data using a Poisson approach
Two Poisson-based distances were developed for SAGE data; their application to simulated and experimental mouse retina data show that they are more appropriate and reliable for analyzing SAGE data than other commonly used distances or similarity measures.
Main Authors: | Cai, Li, Huang, Haiyan, Blackshaw, Seth, Liu, Jun S, Cepko, Connie, Wong, Wing H |
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Format: | Online |
Language: | English |
Published: |
BioMed Central
2004
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/ |
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