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Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim
Although widely used for the analysis of gene expression microarray data, cluster analysis may not be the most appropriate statistical technique for some study aims. We demonstrate this by considering a previous analysis of microarray data obtained on breast tumour specimens, many of which were pair...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2002
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364193/ https://www.ncbi.nlm.nih.gov/pubmed/11953855 http://dx.doi.org/10.1038/sj.bjc.6600216 |
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author | Korn, E L McShane, L M Troendle, J F Rosenwald, A Simon, R |
author_facet | Korn, E L McShane, L M Troendle, J F Rosenwald, A Simon, R |
author_sort | Korn, E L |
collection | PubMed |
description | Although widely used for the analysis of gene expression microarray data, cluster analysis may not be the most appropriate statistical technique for some study aims. We demonstrate this by considering a previous analysis of microarray data obtained on breast tumour specimens, many of which were paired specimens from the same patient before and after chemotherapy. Reanalysing the data using statistical methods that appropriately utilise the paired differences for identification of differentially expressed genes, we find 17 genes that we can confidently identify as more expressed after chemotherapy than before. These findings were not reported by the original investigators who analysed the data using cluster analysis techniques. British Journal of Cancer (2002) 86, 1093–1096. DOI: 10.1038/sj/bjc/6600216 www.bjcancer.com © 2002 Cancer Research UK |
format | Text |
id | pubmed-2364193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23641932009-09-10 Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim Korn, E L McShane, L M Troendle, J F Rosenwald, A Simon, R Br J Cancer Molecular and Cellular Pathology Although widely used for the analysis of gene expression microarray data, cluster analysis may not be the most appropriate statistical technique for some study aims. We demonstrate this by considering a previous analysis of microarray data obtained on breast tumour specimens, many of which were paired specimens from the same patient before and after chemotherapy. Reanalysing the data using statistical methods that appropriately utilise the paired differences for identification of differentially expressed genes, we find 17 genes that we can confidently identify as more expressed after chemotherapy than before. These findings were not reported by the original investigators who analysed the data using cluster analysis techniques. British Journal of Cancer (2002) 86, 1093–1096. DOI: 10.1038/sj/bjc/6600216 www.bjcancer.com © 2002 Cancer Research UK Nature Publishing Group 2002-04-08 /pmc/articles/PMC2364193/ /pubmed/11953855 http://dx.doi.org/10.1038/sj.bjc.6600216 Text en Copyright © 2002 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Molecular and Cellular Pathology Korn, E L McShane, L M Troendle, J F Rosenwald, A Simon, R Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title | Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title_full | Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title_fullStr | Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title_full_unstemmed | Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title_short | Identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
title_sort | identifying pre-post chemotherapy differences in gene expression in breast tumours: a statistical method appropriate for this aim |
topic | Molecular and Cellular Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364193/ https://www.ncbi.nlm.nih.gov/pubmed/11953855 http://dx.doi.org/10.1038/sj.bjc.6600216 |
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