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Bimodal gene expression patterns in breast cancer

We identified a set of genes with an unexpected bimodal distribution among breast cancer patients in multiple studies. The property of bimodality seems to be common, as these genes were found on multiple microarray platforms and in studies with different end-points and patient cohorts. Bimodal genes...

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Detalles Bibliográficos
Autores principales: Bessarabova, Marina, Kirillov, Eugene, Shi, Weiwei, Bugrim, Andrej, Nikolsky, Yuri, Nikolskaya, Tatiana
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2822536/
https://www.ncbi.nlm.nih.gov/pubmed/20158879
http://dx.doi.org/10.1186/1471-2164-11-S1-S8
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author Bessarabova, Marina
Kirillov, Eugene
Shi, Weiwei
Bugrim, Andrej
Nikolsky, Yuri
Nikolskaya, Tatiana
author_facet Bessarabova, Marina
Kirillov, Eugene
Shi, Weiwei
Bugrim, Andrej
Nikolsky, Yuri
Nikolskaya, Tatiana
author_sort Bessarabova, Marina
collection PubMed
description We identified a set of genes with an unexpected bimodal distribution among breast cancer patients in multiple studies. The property of bimodality seems to be common, as these genes were found on multiple microarray platforms and in studies with different end-points and patient cohorts. Bimodal genes tend to cluster into small groups of four to six genes with synchronised expression within the group (but not between the groups), which makes them good candidates for robust conditional descriptors. The groups tend to form concise network modules underlying their function in cancerogenesis of breast neoplasms.
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spelling pubmed-28225362010-02-17 Bimodal gene expression patterns in breast cancer Bessarabova, Marina Kirillov, Eugene Shi, Weiwei Bugrim, Andrej Nikolsky, Yuri Nikolskaya, Tatiana BMC Genomics Research We identified a set of genes with an unexpected bimodal distribution among breast cancer patients in multiple studies. The property of bimodality seems to be common, as these genes were found on multiple microarray platforms and in studies with different end-points and patient cohorts. Bimodal genes tend to cluster into small groups of four to six genes with synchronised expression within the group (but not between the groups), which makes them good candidates for robust conditional descriptors. The groups tend to form concise network modules underlying their function in cancerogenesis of breast neoplasms. BioMed Central 2010-02-10 /pmc/articles/PMC2822536/ /pubmed/20158879 http://dx.doi.org/10.1186/1471-2164-11-S1-S8 Text en Copyright ©2010 Bessarabova et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bessarabova, Marina
Kirillov, Eugene
Shi, Weiwei
Bugrim, Andrej
Nikolsky, Yuri
Nikolskaya, Tatiana
Bimodal gene expression patterns in breast cancer
title Bimodal gene expression patterns in breast cancer
title_full Bimodal gene expression patterns in breast cancer
title_fullStr Bimodal gene expression patterns in breast cancer
title_full_unstemmed Bimodal gene expression patterns in breast cancer
title_short Bimodal gene expression patterns in breast cancer
title_sort bimodal gene expression patterns in breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2822536/
https://www.ncbi.nlm.nih.gov/pubmed/20158879
http://dx.doi.org/10.1186/1471-2164-11-S1-S8
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