Abstract—We report on the development of a relational genomic search engine that integrates search of structured biological data and biomedical literature. After identifying an optimal preprocessing strategy, we present techniques for gene/protein term normalization, acronym expansion, and compound word normalization. Several retrieval models are evaluated on a large biomedical corpus using a common baseline. The system delivers results that meet or exceed the current state-of-the-art depending on the model used. Index Terms—Biomedical computing, Database searching, Information retrieval, Medical information systems
AbstractNamed entity (NE) recognition is a fundamental task in biological relationship mining. This ...
Abstract Background Once specific genes are identified through high throughput genomics technologies...
Much has been written recently about the need for effective tools and methods for mining the wealth ...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
Successful information retrieval from biomedical literature databases is becoming increasingly diffi...
Abstract Background With the growth of biological data in volume and heterogeneity, web search engin...
Research results are primarily published in scientific literature and curation efforts cannot keep u...
Our Genomics experiments mainly focus on addressing three major problems in biomedical information ...
ABSTRACTIn the field of genomic science and medicine in general, there are two methods of retrieving...
Research results are primarily published in scientific literature and curation efforts cannot keep u...
Motivation: One of the problems of when searching for the information needed in databases is to take...
© 2007 Benjamin GoudeyThe rapid growth of biomedical literature has attracted interest from the text...
Abstract Background The analysis of biological data is greatly enhanced by existing or emerging data...
International audienceGenomic sequence data are revolutionizing biology, enabling genome-wide invest...
AbstractNamed entity (NE) recognition is a fundamental task in biological relationship mining. This ...
Abstract Background Once specific genes are identified through high throughput genomics technologies...
Much has been written recently about the need for effective tools and methods for mining the wealth ...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
The recognition and normalization of gene mentions in biomedical literature are crucial steps in bio...
Successful information retrieval from biomedical literature databases is becoming increasingly diffi...
Abstract Background With the growth of biological data in volume and heterogeneity, web search engin...
Research results are primarily published in scientific literature and curation efforts cannot keep u...
Our Genomics experiments mainly focus on addressing three major problems in biomedical information ...
ABSTRACTIn the field of genomic science and medicine in general, there are two methods of retrieving...
Research results are primarily published in scientific literature and curation efforts cannot keep u...
Motivation: One of the problems of when searching for the information needed in databases is to take...
© 2007 Benjamin GoudeyThe rapid growth of biomedical literature has attracted interest from the text...
Abstract Background The analysis of biological data is greatly enhanced by existing or emerging data...
International audienceGenomic sequence data are revolutionizing biology, enabling genome-wide invest...
AbstractNamed entity (NE) recognition is a fundamental task in biological relationship mining. This ...
Abstract Background Once specific genes are identified through high throughput genomics technologies...
Much has been written recently about the need for effective tools and methods for mining the wealth ...