@prefix this: <http://rdf.disgenet.org/nanopublications.trig#NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix sio: <http://semanticscience.org/resource/> .
@prefix ncit: <http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#> .
@prefix lld: <http://linkedlifedata.com/resource/umls/id/> .
@prefix miriam-gene: <http://identifiers.org/ncbigene/> .
@prefix miriam-pubmed: <http://identifiers.org/pubmed/> .
@prefix eco: <http://purl.obolibrary.org/obo/eco.owl#> .
@prefix wi: <http://purl.org/ontology/wi/core#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/2.0/> .
@prefix prv: <http://purl.org/net/provenance/ns#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dgn-np: <http://rdf.disgenet.org/nanopublications.trig#> .
@prefix dgn-gda: <http://rdf.disgenet.org/gene-disease-association.ttl#> .
@prefix dgn-void: <http://rdf.disgenet.org/v2.1.0/void.ttl#> .

dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_head {
  this: np:hasAssertion dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_assertion;
    np:hasProvenance dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_provenance;
    np:hasPublicationInfo dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_publicationInfo;
    a np:Nanopublication .
  
  dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_assertion a np:Assertion .
  
  dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_provenance a np:Provenance .
  
  dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_publicationInfo a
      np:PublicationInfo .
}

dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_assertion {
  miriam-gene:84539 a ncit:C16612 .
  
  lld:C0684249 a ncit:C7057 .
  
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    a sio:SIO_001121 .
}

dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_provenance {
  dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_assertion dcterms:description
      "[) to apply Statistical Learning Theory (SLT), specifically Partial Least Squares (PLS) and Kernelized PLS (K-PLS), to the universal `feature-rich/case-poor` (also known as `large p small n`, or `high-dimension, low-sample size`) microarray problem by eliminating those features (or probes) that do not contribute to the `best` chromosome bio-markers for lung cancer, and 2.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en;
    wi:evidence dgn-void:source_evidence_literature;
    sio:SIO_000772 miriam-pubmed:22784619;
    prov:wasDerivedFrom dgn-void:befree-20140225;
    prov:wasGeneratedBy eco:ECO_0000203 .
  
  dgn-void:befree-20140225 pav:importedOn "2014-02-25"^^xsd:date .
  
  dgn-void:source_evidence_literature a eco:ECO_0000212;
    rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en;
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}

dgn-np:NP406732.RA2q7Z0ye-4tYA6DBV1IW-M6spFYqy6IUBPYJbK8E-R1A130_publicationInfo {
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    dcterms:rights <http://opendatacommons.org/licenses/odbl/1.0/>;
    dcterms:rightsHolder dgn-void:IBIGroup;
    dcterms:subject sio:SIO_000983;
    prv:usedData dgn-void:disgenetrdf;
    pav:authoredBy <http://orcid.org/0000-0001-5999-6269>, <http://orcid.org/0000-0002-7534-7661>,
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  dgn-void:disgenetrdf pav:version "v2.1.0" .
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