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Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes

We published a new method (BMC Bioinformatics 2014, 15:14) for searching for differentially expressed genes from two biological conditions datasets. The presentation of theorem 1 in this paper was incomplete. We received an anonymous comment about our publication that motivates the present work. Her...

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Detalles Bibliográficos
Autores principales: Dembélé, Doulaye, Kastner, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111201/
https://www.ncbi.nlm.nih.gov/pubmed/27846811
http://dx.doi.org/10.1186/s12859-016-1322-0
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author Dembélé, Doulaye
Kastner, Philippe
author_facet Dembélé, Doulaye
Kastner, Philippe
author_sort Dembélé, Doulaye
collection PubMed
description We published a new method (BMC Bioinformatics 2014, 15:14) for searching for differentially expressed genes from two biological conditions datasets. The presentation of theorem 1 in this paper was incomplete. We received an anonymous comment about our publication that motivates the present work. Here, we present a complementary result which is necessary from the theoretical point of view to demonstrate our theorem. We also show that this result has no negative impact on our conclusions obtained with synthetic and experimental microarrays datasets.
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spelling pubmed-51112012016-11-21 Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes Dembélé, Doulaye Kastner, Philippe BMC Bioinformatics Correspondence We published a new method (BMC Bioinformatics 2014, 15:14) for searching for differentially expressed genes from two biological conditions datasets. The presentation of theorem 1 in this paper was incomplete. We received an anonymous comment about our publication that motivates the present work. Here, we present a complementary result which is necessary from the theoretical point of view to demonstrate our theorem. We also show that this result has no negative impact on our conclusions obtained with synthetic and experimental microarrays datasets. BioMed Central 2016-11-15 /pmc/articles/PMC5111201/ /pubmed/27846811 http://dx.doi.org/10.1186/s12859-016-1322-0 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Correspondence
Dembélé, Doulaye
Kastner, Philippe
Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title_full Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title_fullStr Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title_full_unstemmed Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title_short Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
title_sort comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111201/
https://www.ncbi.nlm.nih.gov/pubmed/27846811
http://dx.doi.org/10.1186/s12859-016-1322-0
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