Overview of BioCreative II gene normalization - Wikidata - wikimedia - TriplyDB

Overview of BioCreative II gene normalization

Overview of BioCreative II gene normalization

http://www.wikidata.org/entity/Q36920188

about

OpenDMAP: an open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression PubMed and beyond: a survey of web tools for searching biomedical literature Weakly supervised learning of biomedical information extraction from curated data Integrating GPCR-specific information with full text articles Novel protein-protein interactions inferred from literature context GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains Literature mining for the discovery of hidden connections between drugs, genes and diseases Cross-species gene normalization by species inference Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011 Quantifying the impact and extent of undocumented biomedical synonymy NCBI disease corpus: a resource for disease name recognition and concept normalization Toward knowledge support for analysis and interpretation of complex traits A multistage gene normalization system integrating multiple effective methods Collective instance-level gene normalization on the IGN corpus Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II Integrating various resources for gene name normalization SR4GN: a species recognition software tool for gene normalization The gene normalization task in BioCreative III OntoGene in BioCreative II NEMO: Extraction and normalization of organization names from PubMed affiliations Mining chemical patents with an ensemble of open systems Beyond accuracy: creating interoperable and scalable text-mining web services Community challenges in biomedical text mining over 10 years: success, failure and the future.Interpretation of the consequences of mutations in protein kinases: combined use of bioinformatics and text mining.Annotating genes and genomes with DNA sequences extracted from biomedical articles.Layout-aware text extraction from full-text PDF of scientific articles.Industrial methodology for process verification in research (IMPROVER): toward systems biology verification A robust data-driven approach for gene ontology annotation.BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature Extraction of human kinase mutations from literature, databases and genotyping studies.Biomedical text mining and its applications.Moara: a Java library for extracting and normalizing gene and protein mentions.Integrating text mining into the MGI biocuration workflow Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources Semi-automatic semantic annotation of PubMed queries: a study on quality, efficiency, satisfaction.BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences.A novel method for gathering and prioritizing disease candidate genes based on construction of a set of disease-related MeSH® terms.Dynamic programming re-ranking for PPI interactor and pair extraction in full-text articles.Advancing science through mining libraries, ontologies, and communities.Exploring subdomain variation in biomedical language

P2860

Q21284192-21B66BCD-BBB5-4278-BAED-9B42103FFA67 Q22242911-756CCD04-199F-4E40-93B6-EF99D3BB2D63 Q27319562-F28E7CA3-D8D0-4111-859B-39B0B8AC0FDC Q27496482-97140E3A-6578-41CB-9E1F-12D50569CB84 Q27967980-1BFE8206-462D-465F-9D9E-4626E63F0F23 Q28200510-C2259463-6737-41DD-9455-E2B7034D3345 Q28475561-9D211468-CAD6-4409-B84B-CBB17A8ECC24 Q28480443-0772CDE5-09BB-41D4-9DA5-438419C2C14B Q28480715-7C56ABE3-8BF3-41A5-A6D8-CD33885EAED9 Q28655357-8855E301-5A07-4B8D-898C-F5B04CF90802 Q28657859-7599F595-8A4D-47D7-B22C-DF83225F15AE Q28658388-867BF6F0-7CE2-4DE2-84E7-D56FB324202F Q28661135-D1F9D845-2B34-4088-9EB1-4E0D2BF054B7 Q28661454-68CE7A5C-2F5B-4C81-B838-C700DC79DBC3 Q28711453-1A1F42D0-3273-47C2-BDAE-D1DC797273C8 Q28727865-9D7CA5C1-4BE9-4F6C-9F2C-B9BAE547C19E Q28728829-2C25BC64-35AC-4687-83F1-9595A62EA47A Q28732300-E9348A59-9D2F-4131-87F6-98E5E03BC8D6 Q28756938-FF0E985C-7C8D-4407-8EC5-500D98745961 Q28758561-ABDAAD3A-2227-4FD4-A0FE-923BEB3A58B4 Q28834343-A71C675E-3A21-490E-925C-6C78B2C5502D Q28971434-E8126966-575C-4BFC-8349-B876E8E31A42 Q30374327-2B61193D-6E73-4079-8B01-1E97D36CC4E2 Q30422192-6BC1B902-E36B-4653-AB21-C9D76DFFF936 Q30484828-8846F3D9-B80A-4126-A471-D5C0BA1CA34B Q30485494-A55677AE-ACFF-40A5-83F0-330D93913B17 Q30513851-463BFD3B-3F9F-4F61-A1EA-0A55E7949EC8 Q30872016-1A8A8C5D-4F45-4422-8E82-B8E611CC8318 Q30951526-66578384-014C-4BDF-8E14-D737D9F18B2B Q33503919-CF12B22D-258B-40E6-9AD3-D58075FEF753 Q33521310-E12497EB-6BD1-410B-893F-5B2B5EA50F21 Q33546650-A172BCBC-64B8-4BD5-858A-6814BFA370C4 Q33554526-7ADC4A02-5B69-4A92-BA0E-FB9EEB42C534 Q33615442-F21B054C-2630-41DB-A2B7-9E8C4764FB1C Q33752744-A62D1935-BEF1-4DD5-99E6-E2D48BDD2EAE Q33787312-EE7659A7-B387-4D09-A8AD-9A4EC88A1D34 Q33797137-AD22B984-B3B0-42EB-B692-E8504B75D8E2 Q33826859-5D979335-83BE-4CB1-BB10-0AB8DC3A3866 Q33897627-B99E60BF-4974-4E43-8852-DD91AD3888EC Q33914310-ED5749D3-51C2-4E89-AE29-E680E1762C63

P2860

Overview of BioCreative II gene normalization

http://www.wikidata.org/entity/Q36920188

description

2008 nî lūn-bûn

@nan

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

2008年论文

@zh

2008年论文

@zh-cn

name

Overview of BioCreative II gene normalization

@en

type

label

Overview of BioCreative II gene normalization

@en

prefLabel

Overview of BioCreative II gene normalization

@en

P1433

Q36920188-70DC9DAD-17A5-4A02-884E-92EF637EEB1C

P1476

Q36920188-F86F6718-477A-448D-9C7A-028651353633

P2093

Q36920188-12DE3FBC-026D-4A62-97DF-393741D9D868

Q36920188-1AE00BB5-62E4-484A-BC04-4E7289EC208D

Q36920188-2BD57263-D54A-4C5A-91C9-A19F4A5517DE

Q36920188-335984BC-3A3B-4D85-85A1-DA218BFE6224

Q36920188-398C0011-D09B-44F8-B65C-B9ACEEAD3077

Q36920188-3B205B0D-C263-44FC-969F-545D470EFBA5

Q36920188-44F5591C-275D-4AD1-9F7C-15A4295624C0

Q36920188-6101A6A7-1007-4AF3-B7B0-4ABEAFBD3F5A

Q36920188-82C7AD48-01A8-41A8-AB1E-2B0C79627B25

Q36920188-8BE8DBE1-CBE4-47FE-9659-80A44164D100

P2860

Q36920188-0F6EE7DC-383E-4D31-964F-AE7478D87D51

Q36920188-23EC08A7-D066-4D30-832D-6240E20D7E16

Q36920188-56CA8161-8A96-427A-B35D-928B43DA1254

Q36920188-621B2C3B-8969-46E9-998A-F44AC4B13226

Q36920188-7E696A17-AAF9-4CF4-845D-E255731B37D4

Q36920188-80717814-B2B3-4D6F-83C1-4188F2045336

Q36920188-91381825-B755-4EB0-9030-E8C804C7C2A6

Q36920188-988C19B4-11DE-4933-BB37-BDF81B867FFC

Q36920188-A62B3542-0707-47FB-BBA6-0ECA31B94C62

Q36920188-B2ECB163-A3AF-4C4E-94DB-719DCCF95A75

P2888

Q36920188-998BF52A-AAF3-4D95-9E24-5CA969F36D91

P304

Q36920188-A9DBEACC-D930-4B23-92A1-7667EB03B5FA

P31

Q36920188-05ABDF21-6027-48C4-9B81-7FE5A225F087

P356

Q36920188-3D2B709C-24B2-40B5-BA68-4A99E8D5DC53

P478

Q36920188-9C278D5A-51F3-453D-BA17-33FB22D194BE

P50

Q36920188-6EBEC427-9DAC-40E1-AC9E-FFC83B6D8495

Q36920188-898D3B19-4208-444D-BF74-1A512BC64A92

Q36920188-9540F1E2-2CC1-4348-B5F6-F866E9E97DCF

P577

Q36920188-38579C05-21C7-46B0-930C-504F3367EFC1

P5875

Q36920188-0FFA8802-29B5-4647-9E27-06EF1104490E

P698

Q36920188-4F928F61-2FA2-42E9-8726-46036F083D5D

P932

Q36920188-38F7CE1F-0B44-4D72-B0AF-EAAC0D785759

P356

GB-2008-9-S2-S3

P1433

P1476

Overview of BioCreative II gene normalization

@en

P2093

Aaron M Cohen

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

Alexander A Morgan

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

Anna Divoli

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

Chengjie Sun

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

Chun-Nan Hsu

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

Heng-hui Liu

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

Hongfang Liu

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

Juliane Fluck

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

Jörg Hakenberg

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

K Bretonnel Cohen

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

P2860

Overview of the protein-protein interaction annotation extraction task of BioCreative II

GoPubMed: exploring PubMed with the Gene Ontology

The Universal Protein Resource (UniProt): an expanding universe of protein information.

Overview of BioCreAtIvE task 1B: normalized gene lists

Data preparation and interannotator agreement: BioCreAtIvE task 1B

Tagging gene and protein names in biomedical text.

ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text.

Automatically annotating documents with normalized gene lists

ProMiner: rule-based protein and gene entity recognition

A simple approach for protein name identification: prospects and limits

P2888

gb-2008-9-s2-s3

P304

S3

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

P31

scholarly article

P356

10.1186/GB-2008-9-S2-S3

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

P478

9 Suppl 2

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

P50

Kevin Bretonnel Cohen

P577

2008-09-01T00:00:00Z

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

P5875

51434166

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

P698

18834494

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

P932

2559987

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