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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
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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. |
format | Text |
id | pubmed-317281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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