@prefix dcterms: .
@prefix foaf: .
@prefix hycl: .
@prefix np: .
@prefix npx: .
@prefix ns1: .
@prefix ns2: .
@prefix nt: .
@prefix orcid: .
@prefix prov: .
@prefix rdfs: .
@prefix sub: .
@prefix xsd: .
sub:Head {
np:hasAssertion
sub:assertion;
np:hasProvenance sub:provenance;
np:hasPublicationInfo sub:pubinfo;
a np:Nanopublication .
}
sub:assertion {
dcterms:isPartOf ;
ns2:obtainsSupportFrom ;
ns1:about , ;
a hycl:AIDA-Sentence .
}
sub:provenance {
sub:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}
sub:pubinfo {
nt:hasLabelFromApi "gene regulatory network" .
nt:hasLabelFromApi "quantum computing" .
orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
dcterms:created
"2026-01-06T16:41:43.733Z"^^xsd:dateTime;
dcterms:creator orcid:0000-0002-1784-2920;
dcterms:license ;
npx:hasNanopubType hycl:AIDA-Sentence, ;
npx:introduces ;
npx:wasCreatedAt ;
rdfs:label "AIDA sentence: The QOMIC algorithm achieves up to 63.6% F1 score improvement over classical methods when identifyin...";
nt:wasCreatedFromProvenanceTemplate ;
nt:wasCreatedFromPubinfoTemplate ,
;
nt:wasCreatedFromTemplate .
npx:hasAlgorithm
"RSA";
npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAosxbitQQzLXi1949Zd9JmSkGfYHHlj/CZZ7iiYs1TrZ5/Jk/wGA7kHEv7f9NtsinOdBo9EtHj/jgHE5W2Vv404JbOAY280PvH5Jns5ObWdVZmtHeCw0ZIdPEqNrurrEweKhzcTJW/YRpYWPwVPo47XyIW6IAcmx6gfdtmdPddMpplqExrP6G99ksXfXlZI0InQtZJRSGK5lYLLNzaofFtupPI5OAAGjooDyHijp0Ap2HIXH6WpO4S44cFPKU34pH2xhIY4/XT5DG1X5UoiVHs2Yoo30BHFudj/kAFwdzcy6Yh4tMDaB3ox6p7pi267d7n0y7kypC0Nt+hfgHQ1FpgwIDAQAB";
npx:hasSignature "a1qOC1QD2Ee4J/eJJNdmDfvF+QQLmtY1RaJF4DZu9RVfZ00qf54rI9YK8Qp1pzWtOQXR6VaghHLtNCROgEHRtCLDH+hdXD1tvXd9xpVWKwb+l4Tz9wTRNGdD0ip9P2fvX718WuuAcvOCDS6a22EclxwT97cAOkg+oYGs81xH4a0tXG+sjaoHkORJAhTICJj6GJVFo1mr2xKv3hjHPN1SW/UQZAxRWSOSHM8oeVVGsbj0JOHsWzNj75OwULb84fCecnlgEg81ujblm0ZptVImiP+BMPQBgJy+8KEMrwEmV9pcExyE7rkwpLCeq2PEVvdf0acjnBKt8yXkC+3lKnNVmg==";
npx:hasSignatureTarget ;
npx:signedBy orcid:0000-0002-1784-2920 .
}