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Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data
DNA microarrays are a potentially powerful technology for improving diagnostic classification, treatment selection and therapeutics development. There are, however, many potential pitfalls in the use of microarrays that result in false leads and erroneous conclusions. This paper provides a review of...
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2003
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2394420/ https://www.ncbi.nlm.nih.gov/pubmed/14583755 http://dx.doi.org/10.1038/sj.bjc.6601326 |
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author | Simon, R |
author_facet | Simon, R |
author_sort | Simon, R |
collection | PubMed |
description | DNA microarrays are a potentially powerful technology for improving diagnostic classification, treatment selection and therapeutics development. There are, however, many potential pitfalls in the use of microarrays that result in false leads and erroneous conclusions. This paper provides a review of the key features to be observed in developing diagnostic and prognostic classification systems based on gene expression profiling and some of the pitfalls to be aware of in reading reports of microarray-based studies. |
format | Text |
id | pubmed-2394420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23944202009-09-10 Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data Simon, R Br J Cancer Minireview DNA microarrays are a potentially powerful technology for improving diagnostic classification, treatment selection and therapeutics development. There are, however, many potential pitfalls in the use of microarrays that result in false leads and erroneous conclusions. This paper provides a review of the key features to be observed in developing diagnostic and prognostic classification systems based on gene expression profiling and some of the pitfalls to be aware of in reading reports of microarray-based studies. Nature Publishing Group 2003-11-03 2003-10-28 /pmc/articles/PMC2394420/ /pubmed/14583755 http://dx.doi.org/10.1038/sj.bjc.6601326 Text en Copyright © 2003 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 | Minireview Simon, R Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title | Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title_full | Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title_fullStr | Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title_full_unstemmed | Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title_short | Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
title_sort | diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data |
topic | Minireview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2394420/ https://www.ncbi.nlm.nih.gov/pubmed/14583755 http://dx.doi.org/10.1038/sj.bjc.6601326 |
work_keys_str_mv | AT simonr diagnosticandprognosticpredictionusinggeneexpressionprofilesinhighdimensionalmicroarraydata |