Comparative experiments on learning information extractors for proteins and their interactions.
about
Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.OpenDMAP: an open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expressionBiomedical relation extraction: from binary to complexFiltered circular fingerprints improve either prediction or runtime performance while retaining interpretabilityPrediction of protein-protein interaction sites by random forest algorithm with mRMR and IFSA single kernel-based approach to extract drug-drug interactions from biomedical literatureMultichannel Convolutional Neural Network for Biological Relation ExtractionSupport Vector Machine with Ensemble Tree Kernel for Relation ExtractionKnowledge-Driven Event Extraction in Russian: Corpus-Based Linguistic ResourcesBioEve Search: A Novel Framework to Facilitate Interactive Literature SearchProtein interaction sentence detection using multiple semantic kernelsExtraction of semantic biomedical relations from text using conditional random fieldsEvaluating contributions of natural language parsers to protein-protein interaction extractionEvaluation of residue-residue contact prediction in CASP10Assessment of protein disorder region predictions in CASP10Construction of an annotated corpus to support biomedical information extractionAn open-source framework for large-scale, flexible evaluation of biomedical text mining systems.Linguistic feature analysis for protein interaction extractionHypertenGene: extracting key hypertension genes from biomedical literature with position and automatically-generated template features.Investigating heterogeneous protein annotations toward cross-corpora utilization.BioSimplify: an open source sentence simplification engine to improve recall in automatic biomedical information extractionEnriching a biomedical event corpus with meta-knowledge annotation.High-recall protein entity recognition using a dictionary.Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of diseaseComparative analysis of five protein-protein interaction corporaAll-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learningMining clinical relationships from patient narrativesA realistic assessment of methods for extracting gene/protein interactions from free text.Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2DLearning an enriched representation from unlabeled data for protein-protein interaction extractionA comprehensive benchmark of kernel methods to extract protein-protein interactions from literatureDeciphering the code for retroviral integration target site selectionA linguistic rule-based approach to extract drug-drug interactions from pharmacological documentsA graphic method for identification of novel glioma related genes.An unsupervised text mining method for relation extraction from biomedical literaturePESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queriesCombining active learning and semi-supervised learning techniques to extract protein interaction sentencesConstructing a semantic predication gold standard from the biomedical literature.Context-specific protein network miner--an online system for exploring context-specific protein interaction networks from the literature.A text-mining system for extracting metabolic reactions from full-text articles.
P2860
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P2860
Comparative experiments on learning information extractors for proteins and their interactions.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Comparative experiments on lea ...... oteins and their interactions.
@en
Comparative experiments on lea ...... oteins and their interactions.
@nl
type
label
Comparative experiments on lea ...... oteins and their interactions.
@en
Comparative experiments on lea ...... oteins and their interactions.
@nl
prefLabel
Comparative experiments on lea ...... oteins and their interactions.
@en
Comparative experiments on lea ...... oteins and their interactions.
@nl
P2093
P1476
Comparative experiments on lea ...... roteins and their interactions
@en
P2093
Arun K Ramani
Raymond J Mooney
Razvan Bunescu
Rohit J Kate
Ruifang Ge
Yuk Wah Wong
P304
P356
10.1016/J.ARTMED.2004.07.016
P577
2005-02-01T00:00:00Z