Constructing a semantic predication gold standard from the biomedical literature.
about
An Integrated Data Driven Approach to Drug Repositioning Using Gene-Disease AssociationsFormalizing biomedical concepts from textual definitionsClustering cliques for graph-based summarization of the biomedical research literatureUsing semantic predications to uncover drug-drug interactions in clinical data.Extracting drug indication information from structured product labels using natural language processing.Sortal anaphora resolution to enhance relation extraction from biomedical literature.SemMedDB: a PubMed-scale repository of biomedical semantic predicationsAutomatically extracting sentences from Medline citations to support clinicians' information needsAccuracy of an automated knowledge base for identifying drug adverse reactions.Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies.Functional diversity of topological modules in human protein-protein interaction networks.Semantic annotation of consumer health questions.Systematic identification of latent disease-gene associations from PubMed articles.Improving reproducibility by using high-throughput observational studies with empirical calibrationCross-Evaluation of Entity Linking and Disambiguation Systems for Clinical Text AnnotationUsing predicate and provenance information from a knowledge graph for drug efficacy screening
P2860
Q28552224-6063C081-0E8C-48C8-AADD-A440ADB31BF5Q28647938-EAC0F5E7-D781-42DB-83B2-F0A5802BB3F1Q28681399-7E5F9BDA-E409-49A4-9DCA-E99728FC8527Q30739020-4098AC28-8C8E-40D6-84C5-1F46F33BAE66Q34615841-24C8CD3A-9683-4D2E-941F-948648B9EE94Q35990411-20298FBA-574F-4FC5-BD2B-E6E570661B9CQ36432186-6B08545D-000D-4F6E-83D9-6097090606BFQ37129495-39F8998E-3AAC-45BD-AA86-5D184490B824Q39086689-23B59442-F167-4B06-853C-74838CC8AD3AQ45992660-65472D84-E074-421F-AF5D-8A55737E088EQ47136082-28A65FB6-ED96-4527-BDA0-0D8B49790EFEQ48096593-9C0EE7D1-EC65-4311-AC58-A6CA39FA232FQ48158859-953E7DE0-A0CC-4036-83CA-E8EFB0792B6CQ57278448-F3720AB0-D30C-4069-86BB-4EB108913589Q57768615-CC88A082-2385-4BC8-A45E-FFE29AC276D4Q58761782-E987C308-0ADA-420D-9E30-35472BDBE32C
P2860
Constructing a semantic predication gold standard from the biomedical literature.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին 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
Constructing a semantic predication gold standard from the biomedical literature.
@ast
Constructing a semantic predication gold standard from the biomedical literature.
@en
Constructing a semantic predication gold standard from the biomedical literature.
@nl
type
label
Constructing a semantic predication gold standard from the biomedical literature.
@ast
Constructing a semantic predication gold standard from the biomedical literature.
@en
Constructing a semantic predication gold standard from the biomedical literature.
@nl
prefLabel
Constructing a semantic predication gold standard from the biomedical literature.
@ast
Constructing a semantic predication gold standard from the biomedical literature.
@en
Constructing a semantic predication gold standard from the biomedical literature.
@nl
P2093
P2860
P356
P1433
P1476
Constructing a semantic predication gold standard from the biomedical literature.
@en
P2093
Graciela Rosemblat
Halil Kilicoglu
Marcelo Fiszman
Thomas C Rindflesch
P2860
P2888
P356
10.1186/1471-2105-12-486
P577
2011-12-20T00:00:00Z
P5875
P6179
1021925851