HyQue: evaluating hypotheses using Semantic Web technologies - Wikidata - wikimedia - TriplyDB

HyQue: evaluating hypotheses using Semantic Web technologies

HyQue: evaluating hypotheses using Semantic Web technologies

http://www.wikidata.org/entity/Q28744208

about

Evaluation and cross-comparison of lexical entities of biological interest (LexEBI)An evidence-based approach to identify aging-related genes in Caenorhabditis elegans SEE: structured representation of scientific evidence in the biomedical domain using Semantic Web techniques Facilitating transparency in spinal cord injury studies using data standards and ontologies.A semantic web framework to integrate cancer omics data with biological knowledge.RegenBase: a knowledge base of spinal cord injury biology for translational research Selected papers from the 13th Annual Bio-Ontologies Special Interest Group Meeting Knowledge-based biomedical Data Science

P2860

Q28534091-1173369E-5F0D-411E-A58F-A852A0D30884 Q28649457-0FEF3CC3-958F-494A-BCB1-A3AC4C06BD44 Q28655406-3CFED96C-932E-4587-A9B2-6127ED0ED2EE Q30849646-8F39466C-7409-4650-8815-C206AD2D625D Q34176647-A393DC28-63B3-4BC2-B5FE-EA6BB6D0F20F Q36774566-BA87C66A-390E-4F68-B93A-2D06D7EA7C17 Q56891291-DA3253F8-A255-4F35-830C-0617B1CF9957 Q57001498-1BFE9878-DBB4-4F47-ABF3-3ECC711E5F5E

P2860

HyQue: evaluating hypotheses using Semantic Web technologies

http://www.wikidata.org/entity/Q28744208

description

2011 nî lūn-bûn

@nan

2011 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

HyQue: evaluating hypotheses using Semantic Web technologies

@ast

HyQue: evaluating hypotheses using Semantic Web technologies

@en

HyQue: evaluating hypotheses using Semantic Web technologies

@nl

type

label

HyQue: evaluating hypotheses using Semantic Web technologies

@ast

HyQue: evaluating hypotheses using Semantic Web technologies

@en

HyQue: evaluating hypotheses using Semantic Web technologies

@nl

prefLabel

HyQue: evaluating hypotheses using Semantic Web technologies

@ast

HyQue: evaluating hypotheses using Semantic Web technologies

@en

HyQue: evaluating hypotheses using Semantic Web technologies

@nl

P1433

Q28744208-3303D4A0-6918-47AD-8297-5AA85ABF936D

P1476

Q28744208-D272AACC-F866-464E-B1DA-9CE067AA1D23

P2093

Q28744208-C613928B-0EBE-4FA8-A440-6C0D62E9AC03

P2860

Q28744208-03C95586-B744-43C6-AD72-3C16140BBA43

Q28744208-0B0D39C8-B47B-4346-8B4E-388CBB73ACE1

Q28744208-15E1AA3D-7387-4D62-9642-B3189A278CBF

Q28744208-15E98312-0E40-4FCC-AB02-30889EDC2103

Q28744208-1D47968E-C4BA-41D7-97C0-3F6622AE546D

Q28744208-3EDF9C22-D78F-4618-A54A-856F778958EE

Q28744208-4CE27687-6A84-4DEE-B93F-5F7F22F74439

Q28744208-50B60E72-6DC2-4862-AEE9-B15FD3ADB64C

Q28744208-6B6757FA-B13F-4613-A500-BC920036F71C

Q28744208-77BBA66C-29A8-4AB7-8990-57924CF840C1

P2888

Q28744208-33614414-5837-4B2C-A2C9-102F493937FE

P304

Q28744208-F39C9176-8C25-4EE6-BFDF-6ED2237B821A

P31

Q28744208-FE5C954E-870E-45FA-934D-4E8FD6672911

P3181

Q28744208-3ADA476C-CC47-4E38-A951-C9E6114184B7

P356

Q28744208-F460A2AE-0868-476B-84E6-D72FF8918A7B

P407

Q28744208-16EA16FC-3130-4B38-AE3D-52C6A30E86EE

P433

Q28744208-868D6E42-2100-4DB5-B616-C9E83F5BBB8E

P478

Q28744208-CBD4F20A-6517-40F5-8912-8B58A5EFA56E

P50

Q28744208-061ad5fa-408a-36ad-87d5-7c140184e120

Q28744208-22C2B33A-AF6F-4B09-848B-3F20832F4787

P577

Q28744208-6F580D5E-D7F8-4B49-B275-9EFCDE9E1A67

P6179

Q28744208-1E96CAC8-BA7A-4849-8E1B-964BD5D6334C

P698

Q28744208-8EB01BC3-A3DF-417F-8036-97368FB05BD0

P921

Q28744208-19BB2468-DCA5-4121-AC24-9F2D681D9CA0

Q28744208-7C2AE540-6BAA-4C8B-8DE7-B5C3AE29CF3E

P932

Q28744208-0468823E-66D4-4186-B819-D4924A31B457

P3181

P356

2041-1480-2-S2-S3

P1433

Journal of Biomedical Semantics

P1476

HyQue: evaluating hypotheses using Semantic Web technologies

@en

P2093

Nigam H Shah

http://www.w3.org/2001/XMLSchema#string

P2860

Textpresso: an ontology-based information retrieval and extraction system for biological literature

Bio2RDF: Towards a mashup to build bioinformatics knowledge systems

The automation of science.

Integrated genomic and proteomic analyses of a systematically perturbed metabolic network

GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data.

Beyond data integration.

BioInfer: a corpus for information extraction in the biomedical domain.

BANNER: an executable survey of advances in biomedical named entity recognition.

Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism.

Characteristics of galactose transport in Saccharomyces cerevisiae cells and reconstituted lipid vesicles.

P2888

2041-1480-2-s2-s3

P304

S3

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

2429417

http://www.w3.org/2001/XMLSchema#string

P356

10.1186/2041-1480-2-S2-S3

http://www.w3.org/2001/XMLSchema#string

P407

P433

Suppl 2

http://www.w3.org/2001/XMLSchema#string

P478

2 Suppl 2

http://www.w3.org/2001/XMLSchema#string

P50

Michel Dumontier

Alison Callahan

P577

2011-05-17T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1013483045

http://www.w3.org/2001/XMLSchema#string

P698

21624158

http://www.w3.org/2001/XMLSchema#string

P921

P932

3102892

http://www.w3.org/2001/XMLSchema#string