This HTML5 document contains 173 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#
n10http://dx.doi.org/10.1093/BIOINFORMATICS/
skoshttp://www.w3.org/2004/02/skos/core#
n12https://dblp.org/rec/journals/bioinformatics/
wikibasehttp://wikiba.se/ontology#
phttp://www.wikidata.org/prop/
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:Q38542222
rdf:type
wikibase:Item
schema:description
2015年论文 מאמר מדעי 2015年論文 artikel ilmiah tudományos cikk artigo científico научни чланак мақолаи илмӣ 2015年论文 bilimsel makale wissenschaftlicher Artikel article scientific artykuł naukowy наукова стаття, опублікована у вересні 2015 научна статия 2015년 논문 article scientifique vitskapeleg artikkel vědecký článek article científic wetenschappelijk artikel tieteellinen artikkeli 2015年論文 2015年の論文 scientific article published on 17 September 2015 teaduslik artikkel vetenskaplig artikel vitenskapelig artikkel บทความทางวิทยาศาสตร์ artículu científicu espublizáu en 2015 bài báo khoa học სამეცნიერო სტატია مقالة علمية نشرت في 17 سبتمبر 2015 2015年論文 2015年論文 videnskabelig artikel artigo científico artikull shkencor 2015年论文 vedecký článok artículo científico επιστημονικό άρθρο научная статья 2015 nî lūn-bûn artigo científico articol științific 2015年论文 научни чланак 2015年论文 scientific article published on 17 September 2015 scientific article published on 17 September 2015 naučni članak বৈজ্ঞানিক নিবন্ধ 2015年論文 artikulong pang-agham scienca artikolo articolo scientifico 2015年论文
p:P577
wds:Q38542222-8D3B1AAC-673E-41F8-8034-3221B792224E
wdt:P577
2015-09-17T00:00:00Z
p:P407
wds:Q38542222-3B13B9A7-9516-4458-8F7D-DE18B4A5A80A
wdt:P407
wd:Q1860
p:P2860
wds:Q38542222-D89160D8-5A88-473C-9B62-359CBE4C5A5C wds:Q38542222-E09DFE2D-C37C-4C1D-AE77-B7739A8AD27A wds:Q38542222-EA8A083F-9359-4123-BC9F-1046E5E5BB53 wds:Q38542222-F30A0925-7392-47F7-BAB1-47C3F8D91970 wds:Q38542222-B8D72CC8-2629-4290-BBB6-C9A106D4EA8E wds:Q38542222-BF62088B-ECE6-4721-B117-6AD3433310FA wds:Q38542222-D49E3C2F-3FFD-4092-B476-8BDB205F14E5 wds:Q38542222-8EE29F44-7959-466C-AEA5-766A773A45BC wds:Q38542222-96F1DC89-011B-4131-88F6-444BB2894A3C wds:Q38542222-9AA8984E-656A-4D27-89FD-694F48C431D1 wds:Q38542222-A127954E-1EED-4D8F-8735-9578472465AB wds:Q38542222-A2964B00-138D-46DA-89D8-913A9DB46396 wds:Q38542222-6057FEA0-2A84-43C6-BB50-7D0CD4D5DCCF wds:Q38542222-65CBCDB2-0FF2-4B5A-BF09-5957ABA9893E wds:Q38542222-72345ACD-268B-4F76-8E9F-DF4913729D54 wds:Q38542222-77E44233-5D19-4E0B-8D7B-3DE330B419F8 wds:Q38542222-85F92B9F-7D9A-4116-9BBD-8CB86464D408 wds:Q38542222-13F5723B-A9B9-47C9-82D8-0ED6E1ED1238 wds:Q38542222-16539620-084D-4A13-9BDF-D0C1DF619881 wds:Q38542222-1D22B833-CA71-4AE6-8193-E2CE5351A50D wds:Q38542222-1EEF692A-A2CC-4274-AC11-E0E451236191 wds:Q38542222-1F70F6EE-4A87-4843-A3B0-068C1C997395 wds:Q38542222-266854ED-5C20-42D0-8DE4-E934D8D25C0A wds:Q38542222-298538AE-A77A-4632-9FB0-81D8F48B128D wds:Q38542222-0ED6864C-C090-47AD-B70C-316A1F7F095A wds:Q38542222-0F54ED43-37D7-4BDC-A700-9146AA3513F0
wdt:P2860
wd:Q56907124 wd:Q44515446 wd:Q43537625 wd:Q56622264 wd:Q56169181 wd:Q30982892 wd:Q35812861 wd:Q29614803 wd:Q57256043 wd:Q24677407 wd:Q34426529 wd:Q34899498 wd:Q42055866 wd:Q30986631 wd:Q37887322 wd:Q55887561 wd:Q37852698 wd:Q29038535 wd:Q22673963 wd:Q39957756 wd:Q52373851 wd:Q58183283 wd:Q35216289 wd:Q34493237 wd:Q57532752 wd:Q24606608
p:P2093
wds:Q38542222-137D442B-7901-4825-B365-9CEA72C45E67 wds:Q38542222-2CE16E5E-6954-4AA8-8E55-57D00826C835 wds:Q38542222-31450592-C711-4C86-B90A-54189C4EA125 wds:Q38542222-1E4E86B6-71F2-461C-9394-9116884E6F9B wds:Q38542222-861A8186-6E67-4EBC-BC84-BA1CE4708AB5 wds:Q38542222-6E7BFE82-E2DA-4914-827C-0ACFB2F8C853 wds:Q38542222-F0EE9625-6F60-44F0-B630-0DA379AABB9F wds:Q38542222-D805274A-DF63-4CAA-A982-9F20ED53A7A6 wds:Q38542222-C05942C1-6AC8-41C6-B8A0-C10302ECF12D wds:Q38542222-BD761527-3929-41BF-A52B-26DBD013B12E
wdt:P2093
Jiashun Jin Ji Zhu Hongliang Liu Yanming Li Terry Hyslop Kevin He Jeffrey E Lee Qinyi Wei Huazhen Lin Yi Li
rdfs:label
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
skos:prefLabel
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
schema:name
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
p:P50
wds:Q38542222-735B60D3-95E0-4659-8B0F-7CE328AFCF92
wdt:P50
wd:Q64853144
p:P1476
wds:Q38542222-D9AFF96D-A1FE-4C2B-B709-6B777F7610DD
wdt:P1476
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
p:P304
wds:Q38542222-881571F3-26EF-42E1-B50B-584BF64D63B2
wdt:P304
50-57
p:P31
wds:Q38542222-58B62729-62EA-4494-8AED-3D389EA0CB9E
wdt:P31
wd:Q13442814
p:P921
wds:Q38542222-4CC31440-C6B1-4105-871C-08B0F4D7682E wds:Q38542222-047FF367-1107-4687-8D4D-0E69AE7F1350
wdt:P921
wd:Q5178903 wd:Q5591907
p:P698
wds:Q38542222-479145D9-D40C-4E91-ABE4-D001C8C661E4
wdtn:P698
n11:26382192
wdt:P698
26382192
p:P8978
wds:Q38542222-BF483B51-11B9-483D-BD07-D8E1084A608B
wdtn:P8978
n12:HeLZLLAHJLWL16
wdt:P8978
journals/bioinformatics/HeLZLLAHJLWL16
p:P1433
wds:Q38542222-B2CC147A-A801-412A-8D18-505C15F0DBAA
wdt:P1433
wd:Q4914910
p:P433
wds:Q38542222-61259ACB-34FB-44C7-AE49-2179A4863C63
p:P478
wds:Q38542222-4ACA50A4-8874-43EB-BA03-C529287FA2B1
wdt:P433
1
wdt:P478
32
p:P356
wds:Q38542222-DA69B79A-DD84-410E-99A1-ADE871737BF0
wdtn:P356
n10:BTV517
wdt:P356
10.1093/BIOINFORMATICS/BTV517
p:P932
wds:Q38542222-427BDC94-BAE4-456F-B73C-65C68B4B52CD
wdt:P932
4757968