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Online tool for the discrimination of equi-distributions

BACKGROUND: For many applications one wishes to decide whether a certain set of numbers originates from an equiprobability distribution or whether they are unequally distributed. Distributions of relative frequencies may deviate significantly from the corresponding probability distributions due to f...

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Detalles Bibliográficos
Autores principales: Pöschel, Thorsten, Frömmel, Cornelius, Gille, Christoph
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317281/
https://www.ncbi.nlm.nih.gov/pubmed/14629779
http://dx.doi.org/10.1186/1471-2105-4-58
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author Pöschel, Thorsten
Frömmel, Cornelius
Gille, Christoph
author_facet Pöschel, Thorsten
Frömmel, Cornelius
Gille, Christoph
author_sort Pöschel, Thorsten
collection PubMed
description BACKGROUND: For many applications one wishes to decide whether a certain set of numbers originates from an equiprobability distribution or whether they are unequally distributed. Distributions of relative frequencies may deviate significantly from the corresponding probability distributions due to finite sample effects. Hence, it is not trivial to discriminate between an equiprobability distribution and non-equally distributed probabilities when knowing only frequencies. RESULTS: Based on analytical results we provide a software tool which allows to decide whether data correspond to an equiprobability distribution. The tool is available at . CONCLUSIONS: Its application is demonstrated for the distribution of point mutations in coding genes.
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spelling pubmed-3172812004-01-23 Online tool for the discrimination of equi-distributions Pöschel, Thorsten Frömmel, Cornelius Gille, Christoph BMC Bioinformatics Methodology Article BACKGROUND: For many applications one wishes to decide whether a certain set of numbers originates from an equiprobability distribution or whether they are unequally distributed. Distributions of relative frequencies may deviate significantly from the corresponding probability distributions due to finite sample effects. Hence, it is not trivial to discriminate between an equiprobability distribution and non-equally distributed probabilities when knowing only frequencies. RESULTS: Based on analytical results we provide a software tool which allows to decide whether data correspond to an equiprobability distribution. The tool is available at . CONCLUSIONS: Its application is demonstrated for the distribution of point mutations in coding genes. BioMed Central 2003-11-21 /pmc/articles/PMC317281/ /pubmed/14629779 http://dx.doi.org/10.1186/1471-2105-4-58 Text en Copyright © 2003 Pöschel 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.
spellingShingle Methodology Article
Pöschel, Thorsten
Frömmel, Cornelius
Gille, Christoph
Online tool for the discrimination of equi-distributions
title Online tool for the discrimination of equi-distributions
title_full Online tool for the discrimination of equi-distributions
title_fullStr Online tool for the discrimination of equi-distributions
title_full_unstemmed Online tool for the discrimination of equi-distributions
title_short Online tool for the discrimination of equi-distributions
title_sort online tool for the discrimination of equi-distributions
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317281/
https://www.ncbi.nlm.nih.gov/pubmed/14629779
http://dx.doi.org/10.1186/1471-2105-4-58
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