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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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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. |
format | Text |
id | pubmed-2822536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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