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.

Bibliographic Details
Main Authors: Cai, Li, Huang, Haiyan, Blackshaw, Seth, Liu, Jun S, Cepko, Connie, Wong, Wing H
Format: Online
Language:English
Published: BioMed Central 2004
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463327/
id pubmed-463327
recordtype oai_dc
spelling 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/
_version_ 1611369015501914112