This HTML5 document contains 116 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
wdthttp://www.wikidata.org/prop/direct/
wdtnhttp://www.wikidata.org/prop/direct-normalized/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
n10http://dx.doi.org/10.1021/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://rdf.ncbi.nlm.nih.gov/pubchem/reference/
xsdhhttp://www.w3.org/2001/XMLSchema#
wdshttp://www.wikidata.org/entity/statement/
wdhttp://www.wikidata.org/entity/

Statements

Subject Item
wd:Q91249688
rdf:type
wikibase:Item
schema:description
2019 nî lūn-bûn wetenschappelijk artikel 2019年學術文章 article scientifique 2019年学术文章 vedecký článok article scientific מאמר מדעי artikulong pang-agham 2019年学术文章 научни чланак مقالة علمية نشرت في 12 فبراير 2019 tieteellinen artikkeli επιστημονικό άρθρο videnskabelig artikel udgivet 12. februar 2019 teaduslik artikkel articolo scientifico 2019年の論文 2019年學術文章 2019 թվականի փետրվարի 12-ին հրատարակված գիտական հոդված artikel ilmiah naučni članak 2019年学术文章 wissenschaftlicher Artikel bilimsel makale บทความทางวิทยาศาสตร์ სამეცნიერო სტატია vetenskaplig artikel 2019年学术文章 artigo científico artículu científicu научна статия artigo científico scienca artikolo 2019年學術文章 scientific article published on 12 February 2019 tudományos cikk 2019年學術文章 vitenskapelig artikkel ১২ ফেব্রুয়ারি ২০১৯-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ scientific article published on 12 February 2019 articol științific научни чланак 2019年學術文章 artikull shkencor 2019年学术文章 artículo científico publicado en 2019 мақолаи илмӣ bài báo khoa học наукова стаття, опублікована в лютому 2019 artigo científico 2019年学术文章 article científic научная статья vědecký článek artykuł naukowy vitskapeleg artikkel scientific article published on 12 February 2019 2019년 논문
p:P577
wds:Q91249688-BBDC10EB-61C4-40EB-BE2D-8DBA16258B26
wdt:P577
2019-02-12T00:00:00Z
p:P2860
wds:Q91249688-CC6EC608-BB09-43FE-B1D6-837BC4F1F643 wds:Q91249688-361F8F3C-FC5A-4953-9480-312D6F01606F wds:Q91249688-0B2BF6FE-CFDF-4524-890A-9F57CABB89D1
wdt:P2860
wd:Q34085160 wd:Q28215211 wd:Q88510201
p:P2093
wds:Q91249688-47E83CBB-F6CA-43FB-882E-F5CAB3462E17 wds:Q91249688-15B441C1-6AF3-421D-AF2B-92DB40EBA7D5 wds:Q91249688-63BD7795-993F-4E5C-91CD-8C164F50EAEF wds:Q91249688-4CDB6DD6-8DD4-4076-8C90-49E711837FED wds:Q91249688-DF157483-CF0D-45E6-B182-129D134CCF18 wds:Q91249688-86E8302C-4404-48B8-B792-7ABBD4AA7C09 wds:Q91249688-C0DC6CDD-06CE-4965-9243-066C230F88AE
wdt:P2093
Yiwen Zhang Qian Zhang Wei Jin Xiao Yang Ran Liu Huarong Xu Peng Gao
rdfs:label
A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers
skos:prefLabel
A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers
schema:name
A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers
p:P50
wds:Q91249688-15264C10-1E83-408D-84F1-9FA739913826 wds:Q91249688-1CCBCE25-217E-4272-AE26-A1AE3A390F37
wdt:P50
wd:Q88144480 wd:Q87701830
p:P1476
wds:Q91249688-DF9DF099-83C8-4D67-B4F2-5C08F585EA3E
wdt:P1476
A Novel Strategy for Targeted Lipidomics Based on LC-Tandem-MS Parameters Prediction, Quantification, and Multiple Statistical Data Mining: Evaluation of Lysophosphatidylcholines as Potential Cancer Biomarkers
p:P304
wds:Q91249688-CCFCDE85-5895-477B-8B68-5DDD8098C596
wdt:P304
3389-3396
p:P31
wds:Q91249688-0C900C46-2A03-4929-8817-BAFD7855CF48
wdt:P31
wd:Q13442814
p:P921
wds:Q91249688-61A58ABB-A38F-4563-8CF4-4A8F0835E594 wds:Q91249688-8254497A-EF7A-4E2D-8F57-1F0298E64F2A wds:Q91249688-E7158C77-3FAA-49A0-ACC4-18CDAE2F36AC
wdt:P921
wd:Q12483 wd:Q172491 wd:Q864574
p:P698
wds:Q91249688-C93B91EE-495E-4256-8BA6-4EEAD413D8E2
wdtn:P698
n11:30689358
wdt:P698
30689358
p:P1433
wds:Q91249688-B49A95B0-6CF8-4002-9581-B2CD5818B0B3
wdt:P1433
wd:Q485223
p:P433
wds:Q91249688-8DABD978-1798-4172-8DD5-37448B255A12
p:P478
wds:Q91249688-CA9CDE36-160C-4004-A9A9-2889CAB43962
wdt:P433
5
wdt:P478
91
p:P356
wds:Q91249688-E8FFB0FD-4F0A-4A5B-8F8B-4B73C7F55103
wdtn:P356
n10:ACS.ANALCHEM.8B04715
wdt:P356
10.1021/ACS.ANALCHEM.8B04715