about
Defrosting the digital library: bibliographic tools for the next generation web.PubMed and beyond: a survey of web tools for searching biomedical literatureSystems medicine: the future of medical genomics and healthcareNanoinformatics: emerging databases and available toolsBiomedical informatics and translational medicineRecent Advances and Emerging Applications in Text and Data Mining for Biomedical DiscoveryGetting more out of biomedical documents with GATE's full lifecycle open source text analyticsGraph theory enables drug repurposing--how a mathematical model can drive the discovery of hidden mechanisms of actionExtraction of pharmacokinetic evidence of drug-drug interactions from the literatureNCBI disease corpus: a resource for disease name recognition and concept normalizationThe RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutionsIntegrative computational biology for cancer researchConstruction of an annotated corpus to support biomedical information extractionBioCause: Annotating and analysing causality in the biomedical domainNegated bio-events: analysis and identificationRLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation InformationEnriching a biomedical event corpus with meta-knowledge annotation.Nominalization and alternations in biomedical language.Getting started in text mining: part two.Biomedical text mining and its applications.Discovering gene functional relationships using FAUN (Feature Annotation Using Nonnegative matrix factorization).Identifying informative subsets of the Gene Ontology with information bottleneck methods.Facilitating surveillance of pulmonary invasive mold diseases in patients with haematological malignancies by screening computed tomography reports using natural language processing.A practical application of text mining to literature on cognitive rehabilitation and enhancement through neurostimulation.Text mining for adverse drug events: the promise, challenges, and state of the art.NOBLE - Flexible concept recognition for large-scale biomedical natural language processingSignalling network construction for modelling plant defence response.Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data.Recent progress in automatically extracting information from the pharmacogenomic literature.Genome and proteome annotation: organization, interpretation and integration.dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text.Constructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway eventsGenetic variation underlying protein expression in eggs of the marine mussel Mytilus edulis.Using chief complaints for syndromic surveillance: a review of chief complaint based classifiers in North America.Improvements to cardiovascular gene ontologyLiterature mining in support of drug discovery.Integrating in silico resources to map a signaling networkActive computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.Text mining and natural language processing approaches for automatic categorization of lay requests to web-based expert forums.Literature mining, ontologies and information visualization for drug repurposing.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
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
name
Getting started in text mining
@ast
Getting started in text mining
@en
Getting started in text mining
@en-gb
Getting started in text mining
@nl
type
label
Getting started in text mining
@ast
Getting started in text mining
@en
Getting started in text mining
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Getting started in text mining
@nl
altLabel
Getting Started in Text Mining
@en
prefLabel
Getting started in text mining
@ast
Getting started in text mining
@en
Getting started in text mining
@en-gb
Getting started in text mining
@nl
P2860
P1476
Getting started in text mining
@en
P2860
P356
10.1371/JOURNAL.PCBI.0040020
P407
P577
2008-01-01T00:00:00Z