Matches in Wikidata for { <http://www.wikidata.org/entity/Q91937667> ?p ?o ?g. }
Showing items 1 to 48 of
48
with 100 items per page.
- Q91937667 description "artículu científicu espublizáu n'avientu de 2019" @default.
- Q91937667 description "scientific article published on 01 December 2019" @default.
- Q91937667 description "wetenschappelijk artikel" @default.
- Q91937667 description "наукова стаття, опублікована 1 грудня 2019" @default.
- Q91937667 name "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 name "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 type Item @default.
- Q91937667 label "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 label "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 prefLabel "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 prefLabel "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 P1433 Q91937667-50588307-F05C-4B45-851F-EDDD7FB731DA @default.
- Q91937667 P1476 Q91937667-8198D82A-DCD3-4419-B4DA-9FD22037878B @default.
- Q91937667 P2093 Q91937667-60AAF764-5C66-4671-90D0-A88745BEFF16 @default.
- Q91937667 P2093 Q91937667-651D5AF9-DCA3-4252-97E4-94032769407D @default.
- Q91937667 P2093 Q91937667-FAE529BB-68A4-4614-B356-CC84F6404E0C @default.
- Q91937667 P2860 Q91937667-501B3B4E-3BEC-4C75-A7E8-0E6D6EC2260F @default.
- Q91937667 P304 Q91937667-543345D0-0CCC-4E48-8E7A-B33032596A04 @default.
- Q91937667 P31 Q91937667-FEFFFA72-5B2B-4F76-BE15-43B9E6C9E344 @default.
- Q91937667 P356 Q91937667-C2AE0428-8EB6-4BDC-92C0-BC1973A0F6AF @default.
- Q91937667 P433 Q91937667-DA5A031E-ACDE-4D22-8368-672699272262 @default.
- Q91937667 P478 Q91937667-54D667C0-08BC-45CA-9E7F-E6F906B3EB1B @default.
- Q91937667 P50 Q91937667-5562F733-3D2F-4ADD-9EC2-63B74DF52CEA @default.
- Q91937667 P50 Q91937667-C0E51D5A-2525-4E45-B945-5D1093886138 @default.
- Q91937667 P577 Q91937667-CABFB977-27B0-4485-BB7D-06D3074493FE @default.
- Q91937667 P698 Q91937667-A4915988-9666-42BA-90F7-75CD2DFBBB35 @default.
- Q91937667 P8978 Q91937667-458C2AAA-7C11-4287-B4E9-FD2B5F7DB835 @default.
- Q91937667 P921 Q91937667-024FD0C5-ADB3-4917-81B2-43A12EF87F66 @default.
- Q91937667 P356 BTZ381 @default.
- Q91937667 P698 31077301 @default.
- Q91937667 P8978 SwansonLBSF19 @default.
- Q91937667 P1433 Q4914910 @default.
- Q91937667 P1476 "A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort" @default.
- Q91937667 P2093 "Arnoldo Frigessi" @default.
- Q91937667 P2093 "David M Swanson" @default.
- Q91937667 P2093 "Tonje Lien" @default.
- Q91937667 P2860 Q34594856 @default.
- Q91937667 P304 "4886-4897" @default.
- Q91937667 P31 Q13442814 @default.
- Q91937667 P356 "10.1093/BIOINFORMATICS/BTZ381" @default.
- Q91937667 P433 "23" @default.
- Q91937667 P478 "35" @default.
- Q91937667 P50 Q60034610 @default.
- Q91937667 P50 Q90912674 @default.
- Q91937667 P577 "2019-12-01T00:00:00Z" @default.
- Q91937667 P698 "31077301" @default.
- Q91937667 P8978 "journals/bioinformatics/SwansonLBSF19" @default.
- Q91937667 P921 Q386824 @default.