http://rdf.disgenet.org/resource/nanopub/NP644752.RATpq5jerZvb1zfRs_OzhaZ4smKeGY7wzZIm7WGjfEcus
type: Nanopublication
created: 2016-05-13T12:46:37+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/NP644752.RATpq5jerZvb1zfRs_OzhaZ4smKeGY7wzZIm7WGjfEcus130_assertion
type: Assertion
description: [Taken together, our results support the notion that different PIK3CA mutations differentially contribute to breast cancer transformation, and exploration of the therapeutic application of these mutations will benefit breast cancer patients with the PIK3CA mutations.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/18074223
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