Journal article Open Access

A primer to frequent itemset mining for bioinformatics

Naulaerts, Stefan; Meysman, Pieter; Bittremieux, Wout; Vu, Trung Nghia; Vanden Berghe, Wim; Goethals, Bart; Laukens, Kris


DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://zenodo.org/record/3551515">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Text"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3551515</dct:identifier>
    <foaf:page rdf:resource="https://zenodo.org/record/3551515"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Naulaerts, Stefan</foaf:name>
        <foaf:givenName>Stefan</foaf:givenName>
        <foaf:familyName>Naulaerts</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Meysman, Pieter</foaf:name>
        <foaf:givenName>Pieter</foaf:givenName>
        <foaf:familyName>Meysman</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Bittremieux, Wout</foaf:name>
        <foaf:givenName>Wout</foaf:givenName>
        <foaf:familyName>Bittremieux</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Vu, Trung Nghia</foaf:name>
        <foaf:givenName>Trung Nghia</foaf:givenName>
        <foaf:familyName>Vu</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Vanden Berghe, Wim</foaf:name>
        <foaf:givenName>Wim</foaf:givenName>
        <foaf:familyName>Vanden Berghe</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Goethals, Bart</foaf:name>
        <foaf:givenName>Bart</foaf:givenName>
        <foaf:familyName>Goethals</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Laukens, Kris</foaf:name>
        <foaf:givenName>Kris</foaf:givenName>
        <foaf:familyName>Laukens</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>A primer to frequent itemset mining for bioinformatics</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2013</dct:issued>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2013-10-26</dct:issued>
    <owl:sameAs rdf:resource="https://zenodo.org/record/3551515"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3551515</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <owl:sameAs rdf:resource="https://doi.org/10.1093/bib/bbt074"/>
    <dct:description>&lt;p&gt;Over the past two decades, pattern mining techniques have become an integral part of many bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining techniques designed to identify elements that frequently co-occur. An archetypical example is the identification of products that often end up together in the same shopping basket in supermarket transactions. A number of algorithms have been developed to address variations of this computationally non-trivial problem. Frequent itemset mining techniques are able to efficiently capture the characteristics of (complex) data and succinctly summarize it. Owing to these and other interesting properties, these techniques have proven their value in biological data analysis. Nevertheless, information about the bioinformatics applications of these techniques remains scattered. In this primer, we introduce frequent itemset mining and their derived association rules for life scientists. We give an overview of various algorithms, and illustrate how they can be used in several real-life bioinformatics application domains. We end with a discussion of the future potential and open challenges for frequent itemset mining in the life sciences.&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
        <dcat:accessURL rdf:resource="https://zenodo.org/record/3551515"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.1093/bib/bbt074</dcat:accessURL>
        <dcat:byteSize>766986</dcat:byteSize>
        <dcat:downloadURL>https://zenodo.org/record/3551515/files/Naulaerts2013.pdf</dcat:downloadURL>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
18
42
views
downloads
Views 18
Downloads 42
Data volume 32.2 MB
Unique views 18
Unique downloads 40

Share

Cite as