MeKE: discovering the functions of gene products from biomedical literature via sentence alignment.
about
TXTGate: profiling gene groups with text-based informationVarious criteria in the evaluation of biomedical named entity recognition.Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsyProtein function prediction using text-based features extracted from the biomedical literature: the CAFA challengeA sentence sliding window approach to extract protein annotations from biomedical articles.Quality control for terms and definitions in ontologies and taxonomies.Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.Identification of transcription factor contexts in literature using machine learning approaches.Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curationInformation theory applied to the sparse gene ontology annotation network to predict novel gene functionMining experimental evidence of molecular function claims from the literature.Quantitative assessment of dictionary-based protein named entity tagging.Gene Regulatory Network Inference of Immunoresponsive Gene 1 (IRG1) Identifies Interferon Regulatory Factor 1 (IRF1) as Its Transcriptional Regulator in Mammalian MacrophagesComputational characterization of proteins.Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care.A review of modeling techniques for genetic regulatory networks.Determining word sequence variation patterns in clinical documents using multiple sequence alignment.GOAnnotator: linking protein GO annotations to evidence text.Automatic extraction of gene/protein biological functions from biomedical text.Bioie: retargetable information extraction and ontological annotation of biological interactions from the literature.Dragon TF Association Miner: a system for exploring transcription factor associations through text-mining.
P2860
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P2860
MeKE: discovering the functions of gene products from biomedical literature via sentence alignment.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
MeKE: discovering the function ...... rature via sentence alignment.
@en
type
label
MeKE: discovering the function ...... rature via sentence alignment.
@en
prefLabel
MeKE: discovering the function ...... rature via sentence alignment.
@en
P356
P1433
P1476
MeKE: discovering the function ...... rature via sentence alignment.
@en
P2093
Hsu-Chun Yu
Jung-Hsien Chiang
P304
P356
10.1093/BIOINFORMATICS/BTG160
P407
P577
2003-07-01T00:00:00Z