reference/22931243

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/22931243

Outgoing Links

Predicate	Object
contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	659
issn	1367-4811 1367-4803
issueIdentifier	4
pageRange	652-659
publicationName	Bioinformatics (Oxford, England)
startingPage	652
bibliographicCitation	Lever J, Gakkhar S, Gottlieb M, Rashnavadi T, Lin S, Siu C, Smith M, Jones MR, Krzywinski M, Jones SJM, Wren J. A collaborative filtering-based approach to biomedical knowledge discovery. Bioinformatics. 2018 Feb 15;34(4):652–9. doi: 10.1093/bioinformatics/btx613. PMID: 29028901.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d7e2ac40ddc3ffc83ae9c90f14e5ef19 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_deddfd0fbd18fab1b494dbfe000d705f http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3530cbeae3f8db9358ab85d1da0f8843 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c735bfdd245596d9ed1f2e64a909301e http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_dd3b7268f3155777adf85baa4e82ca1f http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-8198-2939 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7fc86f6bdcb9ecdd1d8b21d4ab9a35da http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e9b99fabca0a4d26e4f66621ba546fda http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a7e3876d695d6d7392719a0db4692c6a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_85cacef50c360ecfcff936153ea0ef50 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7430032bd2ddb2813ad2069ec35d720a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2e2c09ed9d837904cb7b9c536efa9371
date	2017-09-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1093/bioinformatics/btx613 https://pubmed.ncbi.nlm.nih.gov/29028901
isPartOf	https://portal.issn.org/resource/ISSN/1367-4811 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/20940 https://portal.issn.org/resource/ISSN/1367-4803
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	A collaborative filtering-based approach to biomedical knowledge discovery

Total number of triples: 31.