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.
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BioMed Central
2004
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/ |
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pubmed-4633272004-07-16 Clustering analysis of SAGE data using a Poisson approach Cai, Li Huang, Haiyan Blackshaw, Seth Liu, Jun S Cepko, Connie Wong, Wing H Method 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. BioMed Central 2004 2004-06-29 /pmc/articles/PMC463327/ /pubmed/15239836 http://dx.doi.org/10.1186/gb-2004-5-7-r51 Text en Copyright © 2004 Cai et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Cai, Li Huang, Haiyan Blackshaw, Seth Liu, Jun S Cepko, Connie Wong, Wing H |
spellingShingle |
Cai, Li Huang, Haiyan Blackshaw, Seth Liu, Jun S Cepko, Connie Wong, Wing H Clustering analysis of SAGE data using a Poisson approach |
author_facet |
Cai, Li Huang, Haiyan Blackshaw, Seth Liu, Jun S Cepko, Connie Wong, Wing H |
author_sort |
Cai, Li |
title |
Clustering analysis of SAGE data using a Poisson approach |
title_short |
Clustering analysis of SAGE data using a Poisson approach |
title_full |
Clustering analysis of SAGE data using a Poisson approach |
title_fullStr |
Clustering analysis of SAGE data using a Poisson approach |
title_full_unstemmed |
Clustering analysis of SAGE data using a Poisson approach |
title_sort |
clustering analysis of sage data using a poisson approach |
description |
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. |
publisher |
BioMed Central |
publishDate |
2004 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/ |
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1611369015501914112 |