http://rdf.disgenet.org/nanopublications.trig#NP531850.RAgBtvIeCkSdJIIDpjgjU3uyoec6CRykUUDMoOeS7UweA
type: Nanopublication
created: 2014-10-02T12:37:21+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetrdf
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: v2.1.0.0

http://rdf.disgenet.org/nanopublications.trig#NP531850.RAgBtvIeCkSdJIIDpjgjU3uyoec6CRykUUDMoOeS7UweA130_assertion
type: Assertion
description: [Remarkably, highly related networks were revealed by the IPA analysis of a list of 19 brain-metastasis-associated proteins identified recently by the group of Dr. A. Sierra using MDA-MB-435-based experimental system (Martin et al., J Proteome Res 2008 7:908-20), or a 17-gene classifier associated with breast cancer brain relapse reported by the group of Dr. J. Massague based on a microarray analysis of clinically annotated breast tumors from 368 patients (Bos et al., Nature 2009 459: 1005-9).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/21779361
was generated by: ECO_0000203

befree-20140225
imported on: 2014-02-25

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

disgenetrdf
version: v2.1.0