KOPS - Das Institutionelle Repositorium der Universität Konstanz

Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics

Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:5c264a352ef478d14dd09e93db1811db

MYINT, Leslie, Andre KLEENSANG, Liang ZHAO, Thomas HARTUNG, Kasper D. HANSEN, 2017. Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics. In: Analytical Chemistry. 89(6), pp. 3517-3523. ISSN 0003-2700. eISSN 1520-6882

@article{Myint2017-03-21Joint-39013, title={Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics}, year={2017}, doi={10.1021/acs.analchem.6b04719}, number={6}, volume={89}, issn={0003-2700}, journal={Analytical Chemistry}, pages={3517--3523}, author={Myint, Leslie and Kleensang, Andre and Zhao, Liang and Hartung, Thomas and Hansen, Kasper D.} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/39013"> <dc:creator>Zhao, Liang</dc:creator> <dc:contributor>Hartung, Thomas</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150914100631302-4485392-8"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/39013"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-23T08:53:09Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-23T08:53:09Z</dc:date> <dcterms:abstract xml:lang="eng">As mass spectrometry-based metabolomics becomes more widely used in biomedical research, it is important to revisit existing data analysis paradigms. Existing data preprocessing efforts have largely focused on methods which start by extracting features separately from each sample, followed by a subsequent attempt to group features across samples to facilitate comparisons. We show that this preprocessing approach leads to unnecessary variability in peak quantifications that adversely impacts downstream analysis. We present a new method, bakedpi, for the preprocessing of both centroid and profile mode metabolomics data that relies on an intensity-weighted bivariate kernel density estimation on a pooling of all samples to detect peaks. This new method reduces this unnecessary quantification variability and increases power in downstream differential analysis.</dcterms:abstract> <dc:contributor>Hansen, Kasper D.</dc:contributor> <dc:creator>Kleensang, Andre</dc:creator> <dcterms:title>Joint Bounding of Peaks Across Samples Improves Differential Analysis in Mass Spectrometry-Based Metabolomics</dcterms:title> <dc:creator>Hansen, Kasper D.</dc:creator> <dcterms:issued>2017-03-21</dcterms:issued> <dc:creator>Myint, Leslie</dc:creator> <dc:contributor>Myint, Leslie</dc:contributor> <dc:language>eng</dc:language> <dc:contributor>Zhao, Liang</dc:contributor> <dc:contributor>Kleensang, Andre</dc:contributor> <dc:creator>Hartung, Thomas</dc:creator> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 23.05.2017 (Informationen über die Zugriffsstatistik)

Myint_0-405968.pdf 18

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto