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A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter

The biclustering of microarray data has been the subject of a large research. No one of the existing biclustering algorithms is perfect. The construction of biologically significant groups of biclusters for large microarray data is still a problem that requires a continuous work. Biological validati...

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Detalles Bibliográficos
Autores principales: Saber, Haifa Ben, Elloumi, Mourad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666179/
https://www.ncbi.nlm.nih.gov/pubmed/26628919
http://dx.doi.org/10.1186/s13040-015-0070-4
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author Saber, Haifa Ben
Elloumi, Mourad
author_facet Saber, Haifa Ben
Elloumi, Mourad
author_sort Saber, Haifa Ben
collection PubMed
description The biclustering of microarray data has been the subject of a large research. No one of the existing biclustering algorithms is perfect. The construction of biologically significant groups of biclusters for large microarray data is still a problem that requires a continuous work. Biological validation of biclusters of microarray data is one of the most important open issues. So far, there are no general guidelines in the literature on how to validate biologically extracted biclusters. In this paper, we develop two biclustering algorithms of binary microarray data, adopting the Iterative Row and Column Clustering Combination (IRCCC) approach, called BiBinCons and BiBinAlter. However, the BiBinAlter algorithm is an improvement of BiBinCons. On the other hand, BiBinAlter differs from BiBinCons by the use of the EvalStab and IndHomog evaluation functions in addition to the CroBin one (Bioinformatics 20:1993–2003, 2004). BiBinAlter can extracts biclusters of good quality with better p-values.
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spelling pubmed-46661792015-12-02 A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter Saber, Haifa Ben Elloumi, Mourad BioData Min Research The biclustering of microarray data has been the subject of a large research. No one of the existing biclustering algorithms is perfect. The construction of biologically significant groups of biclusters for large microarray data is still a problem that requires a continuous work. Biological validation of biclusters of microarray data is one of the most important open issues. So far, there are no general guidelines in the literature on how to validate biologically extracted biclusters. In this paper, we develop two biclustering algorithms of binary microarray data, adopting the Iterative Row and Column Clustering Combination (IRCCC) approach, called BiBinCons and BiBinAlter. However, the BiBinAlter algorithm is an improvement of BiBinCons. On the other hand, BiBinAlter differs from BiBinCons by the use of the EvalStab and IndHomog evaluation functions in addition to the CroBin one (Bioinformatics 20:1993–2003, 2004). BiBinAlter can extracts biclusters of good quality with better p-values. BioMed Central 2015-11-30 /pmc/articles/PMC4666179/ /pubmed/26628919 http://dx.doi.org/10.1186/s13040-015-0070-4 Text en © Ben saber and Elloumi. 2015 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 Research
Saber, Haifa Ben
Elloumi, Mourad
A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title_full A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title_fullStr A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title_full_unstemmed A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title_short A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter
title_sort novel biclustering algorithm of binary microarray data: bibincons and bibinalter
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666179/
https://www.ncbi.nlm.nih.gov/pubmed/26628919
http://dx.doi.org/10.1186/s13040-015-0070-4
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