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» Discovering gene annotations in biomedical text databases
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BMCBI
2008
173views more  BMCBI 2008»
13 years 5 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
BIBE
2006
IEEE
184views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
A Language Modeling Text Mining Approach to the Annotation of Protein Community
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community. Communities appear to play an important role in the functional...
Xiaodan Zhang, Daniel Duanqing Wu, Xiaohua Zhou, X...
VLDB
2004
ACM
143views Database» more  VLDB 2004»
13 years 10 months ago
GPX: Interactive Mining of Gene Expression Data
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
Daxin Jiang, Jian Pei, Aidong Zhang
BMCBI
2005
153views more  BMCBI 2005»
13 years 4 months ago
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
Background: The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical ...
Soumya Ray, Mark Craven
KES
2005
Springer
13 years 10 months ago
gProt: Annotating Protein Interactions Using Google and Gene Ontology
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical informa...
Rune Sætre, Amund Tveit, Martin Thorsen Rana...