Extraction of protein interaction information from unstructured text using a context-free grammar.
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 expressionCorpus annotation for mining biomedical events from literatureA formalized description of the standard human variant nomenclature in Extended Backus-Naur FormFacts from text--is text mining ready to deliver?Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguationBiomedical relation extraction: from binary to complexA review on computational systems biology of pathogen-host interactionsOntoGene in BioCreative IIConstruction of an annotated corpus to support biomedical information extractionSurvey of Natural Language Processing Techniques in Bioinformatics.Gene/protein name recognition based on support vector machine using dictionary as features.Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of diseaseAutomated recognition of malignancy mentions in biomedical literature.Benchmarking natural-language parsers for biological applications using dependency graphs.BioInfer: a corpus for information extraction in the biomedical domain.Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articlesNew challenges for text mining: mapping between text and manually curated pathways.PPI finder: a mining tool for human protein-protein interactions.Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2DPPLook: an automated data mining tool for protein-protein interaction.Combining active learning and semi-supervised learning techniques to extract protein interaction sentencesText Mining for Protein DockingVirusMINT: a viral protein interaction database.Computer-assisted reading in drug discovery.Interaction relation ontology learning.Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts.Identifying Liver Cancer and Its Relations with Diseases, Drugs, and Genes: A Literature-Based Approach.The age-phenome databaseGene mention normalization and interaction extraction with context models and sentence motifs.The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.Biological network extraction from scientific literature: state of the art and challenges.Bayesian inference of protein-protein interactions from biological literaturePPInterFinder--a mining tool for extracting causal relations on human proteins from literature.Identifying genotype-phenotype relationships in biomedical text.Negation of protein-protein interactions: analysis and extraction.Natural language processing in text mining for structural modeling of protein complexes.Efficiently mining protein interaction dependencies from large text corpora.Extraction of Disease Factors from Medical Texts
P2860
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P2860
Extraction of protein interaction information from unstructured text using a context-free grammar.
description
2003 nî lūn-bûn
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2003年の論文
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name
Extraction of protein interact ...... using a context-free grammar.
@en
type
label
Extraction of protein interact ...... using a context-free grammar.
@en
prefLabel
Extraction of protein interact ...... using a context-free grammar.
@en
P356
P1433
P1476
Extraction of protein interact ...... using a context-free grammar.
@en
P2093
Joshua M Temkin
Mark R Gilder
P304
P356
10.1093/BIOINFORMATICS/BTG279
P407
P577
2003-11-01T00:00:00Z