Publikation:

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: 266

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
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

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

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

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