http://rdf.disgenet.org/resource/nanopub/NP558157.RAGTEoBYDAXBSpyV0CSAynyvCQga2aJEKpbkJGceJoZk0
type: Nanopublication
created: 2016-05-13T12:45:57+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetv3.0rdf
authored by: http://orcid.org/0000-0001-5999-6269
authored by: http://orcid.org/0000-0002-7534-7661
authored by: 0000-0002-9383-528X
authored by: http://orcid.org/0000-0003-0169-8159
authored by: http://orcid.org/0000-0003-1244-7654
created by: http://orcid.org/0000-0003-0169-8159
version: v4.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP558157.RAGTEoBYDAXBSpyV0CSAynyvCQga2aJEKpbkJGceJoZk0130_assertion
type: Assertion
description: [Using an analysis of EST frequency, the newly identified genes, especially ANXA2, represent potential biomarkers for HCC and useful targets for elucidating the molecular mechanisms associated with HCC involving virological etiology.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/16820872
was generated by: ECO_0000203

befree-2016
imported on: 2016-02-19

DisGeNET evidence - LITERATURE
type: ECO_0000212
comment: Gene-disease associations inferred from text-mining the literature.

disgenetv3.0rdf
version: v4.0.0