http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30389238

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 56490
issn 1949-2553
issueIdentifier 35
pageRange 56480-56490
publicationName Oncotarget
startingPage 56480
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b5ad88fdb9d8a30d34a9b7f844c05af4
isSupportedBy http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_a38921b74e9abc5cf081cc78c2aed28f
http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_ab80a732b5df33e85751c0a758afb577
http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_0e6f2c6bc92b0894d543b61f5a38d693
http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_f25727d0979bd47e41e107e426bd7d34
bibliographicCitation Chen J, Wu X, Huang Y, Chen W, Brand RE, Killary AM, Sen S, Frazier ML. Identification of genetic variants predictive of early onset pancreatic cancer through a population science analysis of functional genomic datasets. Oncotarget. 2016 Aug 30;7(35):56480–90. PMID: 27486767; PMCID: PMC5302929.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_ecd82fa39e0e69efc934a216155c82b2
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1a18e1074aa9718831deab81c2dd3242
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_698ac5b41b893f61086fb306e485d0ad
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_121d35723d8d282f90b8257acf0261e3
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d98a95b0b94f2bde16ed75ce60cc5643
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e4a85484619fe0fb66fcb0ccc354814d
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d97e27a6d69de542d7a91727391fc318
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f53c18178b2570da3b037637582a1607
date 2016-07-29^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/27486767
https://pubmed.ncbi.nlm.nih.gov/PMC5302929
https://doi.org/10.18632/oncotarget.10924
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/37803
https://portal.issn.org/resource/ISSN/1949-2553
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Identification of genetic variants predictive of early onset pancreatic cancer through a population science analysis of functional genomic datasets
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D063646Q000235
http://id.nlm.nih.gov/mesh/D020641
http://id.nlm.nih.gov/mesh/D010190Q000235
http://id.nlm.nih.gov/mesh/D015972
hasSubjectTerm http://id.nlm.nih.gov/mesh/D015331
http://id.nlm.nih.gov/mesh/D017720
http://id.nlm.nih.gov/mesh/D012307
http://id.nlm.nih.gov/mesh/D000328
http://id.nlm.nih.gov/mesh/D008297
http://id.nlm.nih.gov/mesh/D055815
http://id.nlm.nih.gov/mesh/D008875
http://id.nlm.nih.gov/mesh/D005838
http://id.nlm.nih.gov/mesh/D020022
http://id.nlm.nih.gov/mesh/D019295
http://id.nlm.nih.gov/mesh/D040641
http://id.nlm.nih.gov/mesh/D001665
http://id.nlm.nih.gov/mesh/D000368
http://id.nlm.nih.gov/mesh/D018628
http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D010190Q000175
http://id.nlm.nih.gov/mesh/D023281
http://id.nlm.nih.gov/mesh/D000369
http://id.nlm.nih.gov/mesh/D005260
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11431
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID8766

Showing number of triples: 1 to 56 of 56.