Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1209221#aggregation> ?p ?o. }
Showing items 1 to 38 of
38
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B583146.
- aggregation creator B583147.
- aggregation creator B583148.
- aggregation creator B583149.
- aggregation creator B583150.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1209221.bibtex.
- aggregation hasFormat 1209221.csv.
- aggregation hasFormat 1209221.dc.
- aggregation hasFormat 1209221.didl.
- aggregation hasFormat 1209221.doc.
- aggregation hasFormat 1209221.json.
- aggregation hasFormat 1209221.mets.
- aggregation hasFormat 1209221.mods.
- aggregation hasFormat 1209221.rdf.
- aggregation hasFormat 1209221.ris.
- aggregation hasFormat 1209221.txt.
- aggregation hasFormat 1209221.xls.
- aggregation hasFormat 1209221.yaml.
- aggregation isPartOf urn:issn:1545-5963.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Science General".
- aggregation title "Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms".
- aggregation abstract "Progress is continuously being made in the quest for stable biomarkers linked to complex diseases. Mass spectrometers are one of the devices for tackling this problem. The data profiles they produce are noisy and unstable. In these profiles, biomarkers are detected as signal regions (peaks), where control and disease samples behave differently. Mass spectrometry (MS) data generally contain a limited number of samples described by a high number of features. In this work, we present a novel class of evolutionary algorithms, estimation of distribution algorithms (EDA), as an efficient peak selector in this MS domain. There is a trade-of f between the reliability of the detected biomarkers and the low number of samples for analysis. For this reason, we introduce a consensus approach, built upon the classical EDA scheme, that improves stability and robustness of the final set of relevant peaks. An entire data workflow is designed to yield unbiased results. Four publicly available MS data sets (two MALDI-TOF and another two SELDI-TOF) are analyzed. The results are compared to the original works, and a new plot (peak frequential plot) for graphically inspecting the relevant peaks is introduced. A complete online supplementary page, which can be found at http://www.sc.ehu.es/ccwbayes/members/ruben/ms, includes extended info and results, in addition to Matlab scripts and references.".
- aggregation authorList BK935420.
- aggregation endPage "774".
- aggregation issue "3".
- aggregation startPage "760".
- aggregation volume "8".
- aggregation aggregates 3147726.
- aggregation isDescribedBy 1209221.
- aggregation similarTo TCBB.2010.18.
- aggregation similarTo LU-1209221.