On consensus biomarker selection

<p>Abstract</p> <p>Background</p> <p>Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biomarkers in human body fluids like serum or plasma, based on which n...

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Main Authors: Gambin Anna, Dutkowski Janusz
Format: Article
Language:English
Published: BMC 2007-05-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/8/S5/S5
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spelling doaj-5314c9d0bac046c18e73792232556e8e2020-11-25T01:04:36ZengBMCBMC Bioinformatics1471-21052007-05-018Suppl 5S510.1186/1471-2105-8-S5-S5On consensus biomarker selectionGambin AnnaDutkowski Janusz<p>Abstract</p> <p>Background</p> <p>Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biomarkers in human body fluids like serum or plasma, based on which new diagnostic tests for different diseases could be constructed. Various biomarker selection procedures have been exploited in recent studies. It has been noted that they often lead to different biomarker lists and as a consequence, the patient classification may also vary.</p> <p>Results</p> <p>Here we propose a new approach to the biomarker selection problem: to apply several competing feature ranking procedures and compute a consensus list of features based on their outcomes. We validate our methods on two proteomic datasets for the diagnosis of ovarian and prostate cancer.</p> <p>Conclusion</p> <p>The proposed methodology can improve the classification results and at the same time provide a unified biomarker list for further biological examinations and interpretation.</p> http://www.biomedcentral.com/1471-2105/8/S5/S5
collection DOAJ
language English
format Article
sources DOAJ
author Gambin Anna
Dutkowski Janusz
spellingShingle Gambin Anna
Dutkowski Janusz
On consensus biomarker selection
BMC Bioinformatics
author_facet Gambin Anna
Dutkowski Janusz
author_sort Gambin Anna
title On consensus biomarker selection
title_short On consensus biomarker selection
title_full On consensus biomarker selection
title_fullStr On consensus biomarker selection
title_full_unstemmed On consensus biomarker selection
title_sort on consensus biomarker selection
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2007-05-01
description <p>Abstract</p> <p>Background</p> <p>Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biomarkers in human body fluids like serum or plasma, based on which new diagnostic tests for different diseases could be constructed. Various biomarker selection procedures have been exploited in recent studies. It has been noted that they often lead to different biomarker lists and as a consequence, the patient classification may also vary.</p> <p>Results</p> <p>Here we propose a new approach to the biomarker selection problem: to apply several competing feature ranking procedures and compute a consensus list of features based on their outcomes. We validate our methods on two proteomic datasets for the diagnosis of ovarian and prostate cancer.</p> <p>Conclusion</p> <p>The proposed methodology can improve the classification results and at the same time provide a unified biomarker list for further biological examinations and interpretation.</p>
url http://www.biomedcentral.com/1471-2105/8/S5/S5
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