Statistical strategies and stochastic predictive models for the MARK-AGE data

Lade...
Vorschaubild
Dateien
Giampieri_0-312547.pdf
Giampieri_0-312547.pdfGröße: 952.43 KBDownloads: 253
Datum
2015
Autor:innen
Giampieri, Enrico
Remondini, Daniel
Bacalini, Maria Giulia
Garagnani, Paolo
Pirazzini, Chiara
Yani, Stella Lukas
Giuliani, Cristina
Menichetti, Giulia
Zironi, Isabella
Sala, Claudia
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Mechanisms of Ageing and Development. 2015, 151, pp. 45-53. ISSN 0047-6374. eISSN 1872-6216. Available under: doi: 10.1016/j.mad.2015.07.001
Zusammenfassung

MARK-AGE aims at the identification of biomarkers of human aging capable of discriminating between the chronological age and the effective functional status of the organism. To achieve this, given the structure of the collected data, a proper statistical analysis has to be performed, as the structure of the data are non trivial and the number of features under study is near to the number of subjects used, requiring special care to avoid overfitting. Here we described some of the possible strategies suitable for this analysis. We also include a description of the main techniques used, to explain and justify the selected strategies. Among other possibilities, we suggest to model and analyze the data with a three step strategy.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Biomarkers, Biological age, Chronological age, Statistics models, MARK-AGE
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690GIAMPIERI, Enrico, Daniel REMONDINI, Maria Giulia BACALINI, Paolo GARAGNANI, Chiara PIRAZZINI, Stella Lukas YANI, Cristina GIULIANI, Giulia MENICHETTI, Isabella ZIRONI, Claudia SALA, Miriam CAPRI, Claudio FRANCESCHI, Alexander BÜRKLE, Gastone CASTELLANI, 2015. Statistical strategies and stochastic predictive models for the MARK-AGE data. In: Mechanisms of Ageing and Development. 2015, 151, pp. 45-53. ISSN 0047-6374. eISSN 1872-6216. Available under: doi: 10.1016/j.mad.2015.07.001
BibTex
@article{Giampieri2015Stati-33339,
  year={2015},
  doi={10.1016/j.mad.2015.07.001},
  title={Statistical strategies and stochastic predictive models for the MARK-AGE data},
  volume={151},
  issn={0047-6374},
  journal={Mechanisms of Ageing and Development},
  pages={45--53},
  author={Giampieri, Enrico and Remondini, Daniel and Bacalini, Maria Giulia and Garagnani, Paolo and Pirazzini, Chiara and Yani, Stella Lukas and Giuliani, Cristina and Menichetti, Giulia and Zironi, Isabella and Sala, Claudia and Capri, Miriam and Franceschi, Claudio and Bürkle, Alexander and Castellani, Gastone}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/33339">
    <dc:creator>Remondini, Daniel</dc:creator>
    <dc:contributor>Giampieri, Enrico</dc:contributor>
    <dc:contributor>Giuliani, Cristina</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-03-16T10:01:58Z</dc:date>
    <dc:creator>Yani, Stella Lukas</dc:creator>
    <dc:creator>Bacalini, Maria Giulia</dc:creator>
    <dc:contributor>Castellani, Gastone</dc:contributor>
    <dc:creator>Garagnani, Paolo</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/33339"/>
    <dcterms:title>Statistical strategies and stochastic predictive models for the MARK-AGE data</dcterms:title>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:abstract xml:lang="eng">MARK-AGE aims at the identification of biomarkers of human aging capable of discriminating between the chronological age and the effective functional status of the organism. To achieve this, given the structure of the collected data, a proper statistical analysis has to be performed, as the structure of the data are non trivial and the number of features under study is near to the number of subjects used, requiring special care to avoid overfitting. Here we described some of the possible strategies suitable for this analysis. We also include a description of the main techniques used, to explain and justify the selected strategies. Among other possibilities, we suggest to model and analyze the data with a three step strategy.</dcterms:abstract>
    <dc:contributor>Pirazzini, Chiara</dc:contributor>
    <dc:contributor>Bürkle, Alexander</dc:contributor>
    <dc:contributor>Garagnani, Paolo</dc:contributor>
    <dc:contributor>Franceschi, Claudio</dc:contributor>
    <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33339/3/Giampieri_0-312547.pdf"/>
    <dc:creator>Bürkle, Alexander</dc:creator>
    <dc:contributor>Bacalini, Maria Giulia</dc:contributor>
    <dc:contributor>Menichetti, Giulia</dc:contributor>
    <dc:contributor>Remondini, Daniel</dc:contributor>
    <dc:creator>Castellani, Gastone</dc:creator>
    <dc:contributor>Zironi, Isabella</dc:contributor>
    <dc:creator>Menichetti, Giulia</dc:creator>
    <dc:creator>Pirazzini, Chiara</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Yani, Stella Lukas</dc:contributor>
    <dc:creator>Zironi, Isabella</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33339/3/Giampieri_0-312547.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-03-16T10:01:58Z</dcterms:available>
    <dc:creator>Giuliani, Cristina</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Sala, Claudia</dc:contributor>
    <dc:creator>Capri, Miriam</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/4.0/"/>
    <dc:contributor>Capri, Miriam</dc:contributor>
    <dc:creator>Sala, Claudia</dc:creator>
    <dcterms:issued>2015</dcterms:issued>
    <dc:creator>Franceschi, Claudio</dc:creator>
    <dc:creator>Giampieri, Enrico</dc:creator>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen