@prefix cito: <http://purl.org/spar/cito/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix hycl: <http://purl.org/petapico/o/hycl#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema: <https://schema.org/> .
@prefix sub: <https://w3id.org/np/RAtobepublished/> .
@prefix wd: <http://www.wikidata.org/entity/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  <https://w3id.org/np/RAuP0OLt_0tnOBRsIDF8qhyoRdMIQY7bJZWbvtBvinJRk> np:hasAssertion
      sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

sub:assertion {
  <http://purl.org/aida/The%20QOMIC%20algorithm%20achieves%20up%20to%2063.6%25%20F1%20score%20improvement%20over%20classical%20methods%20when%20identifying%20network%20motifs%20in%20gene%20regulatory%20networks.>
    dcterms:isPartOf <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0/quantum-computing-applications-for-biodiversity-re>;
    cito:obtainsSupportFrom <https://doi.org/10.1093/bioadv/vbae208>;
    a hycl:AIDA-Sentence;
    schema:about wd:Q1502576, wd:Q17995793 .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}

sub:pubinfo {
  wd:Q1502576 nt:hasLabelFromApi "gene regulatory network" .
  
  wd:Q17995793 nt:hasLabelFromApi "quantum computing" .
  
  orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  
  <https://w3id.org/np/RAuP0OLt_0tnOBRsIDF8qhyoRdMIQY7bJZWbvtBvinJRk> dcterms:created
      "2026-01-06T18:30:00.000Z"^^xsd:dateTime;
    dcterms:creator orcid:0000-0002-1784-2920;
    dcterms:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:hasNanopubType hycl:AIDA-Sentence, <http://purl.org/petapico/o/hycl>;
    npx:introduces <http://purl.org/aida/The%20QOMIC%20algorithm%20achieves%20up%20to%2063.6%25%20F1%20score%20improvement%20over%20classical%20methods%20when%20identifying%20network%20motifs%20in%20gene%20regulatory%20networks.>;
    npx:supersedes <https://w3id.org/np/RAfHJDlZJhrga940-UtgLjV8l64ftVdmQYalt4y9uvDYc>;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/>;
    rdfs:label "AIDA sentence: The QOMIC algorithm achieves up to 63.6% F1 score improvement over classical methods when identifyin...";
    nt:wasCreatedFromProvenanceTemplate <https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU>;
    nt:wasCreatedFromPubinfoTemplate <https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw>,
      <https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI>;
    nt:wasCreatedFromTemplate <https://w3id.org/np/RALmXhDw3rHcMveTgbv8VtWxijUHwnSqhCmtJFIPKWVaA> .
  
  <https://w3id.org/np/RAuP0OLt_0tnOBRsIDF8qhyoRdMIQY7bJZWbvtBvinJRk/sig> npx:hasAlgorithm
      "RSA";
    npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAosxbitQQzLXi1949Zd9JmSkGfYHHlj/CZZ7iiYs1TrZ5/Jk/wGA7kHEv7f9NtsinOdBo9EtHj/jgHE5W2Vv404JbOAY280PvH5Jns5ObWdVZmtHeCw0ZIdPEqNrurrEweKhzcTJW/YRpYWPwVPo47XyIW6IAcmx6gfdtmdPddMpplqExrP6G99ksXfXlZI0InQtZJRSGK5lYLLNzaofFtupPI5OAAGjooDyHijp0Ap2HIXH6WpO4S44cFPKU34pH2xhIY4/XT5DG1X5UoiVHs2Yoo30BHFudj/kAFwdzcy6Yh4tMDaB3ox6p7pi267d7n0y7kypC0Nt+hfgHQ1FpgwIDAQAB";
    npx:hasSignature "gIOhGeFkKgNYodvLzu/U2TEY3IqOj9N0OUw9hdoer8jole9N8Vo/GwZVxg5dMNrAmY2lrN5QTuxznFUPWST3W3CN89qCJUu7hpu0eghLbtdZjvDaxXme7HT/iVJuFAjjtabqNpnteTjsy7PRpHJvbbeb8vwJQ11wh8leJbEga6J74Qi9rKh9vh3y90hffV2UPiSeLryS/Airi/jOTFHvqEWugVR9Hzg97f0UgU1H8c26HsHmdxZt2JZp8JcSsclmDCh0IJnafFzy3+yMBI07v+yoXIcVOoc9xPmTTvYhy8bkgaGAWQ9hyl51+d0ZGTgmVTwtmCNR7iVuLpHn5i+ewA==";
    npx:hasSignatureTarget <https://w3id.org/np/RAuP0OLt_0tnOBRsIDF8qhyoRdMIQY7bJZWbvtBvinJRk>;
    npx:signedBy orcid:0000-0002-1784-2920 .
  
  <https://w3id.org/np/RAvk9pmoZ2IberoDe7zUWV0bVithiy6CnbSG5y06YuKM0/quantum-computing-applications-for-biodiversity-re>
    nt:hasLabelFromApi "Quantum Computing Applications for Biodiversity Research - Systematic Review" .
}