The advent of high-throughput experiments in molecular biology creates a need for methods to efficiently extract and use information for large numbers of genes. Recently, the associative concept space (ACS) has been developed for the representation of information extracted from biomedical literature. The ACS is a Euclidean space in which thesaurus concepts are positioned and the distances between concepts indicates their relatedness. The ACS uses co-occurrence of concepts as a source of information. In this paper we evaluate how well the system can retrieve functionally related genes and we compare its performance with a simple gene co-occurrence method.status: publishe
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
MOTIVATION: The advent of high-throughput experiments in molecular biology creates a need for method...
Abstract Background Biological knowledge is represented in scientific literature that often describe...
BACKGROUND: Biological knowledge is represented in scientific literature that often describes the fu...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
Abstract Background The availability of biomedical literature in electronic format has made it possi...
Comparative analysis of expression microarray studies is difficult due to the large influence of tec...
BACKGROUND: Biological knowledge is represented in scientific literature that often describes the fu...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes pot...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
MOTIVATION: The advent of high-throughput experiments in molecular biology creates a need for method...
Abstract Background Biological knowledge is represented in scientific literature that often describe...
BACKGROUND: Biological knowledge is represented in scientific literature that often describes the fu...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
Abstract Background The availability of biomedical literature in electronic format has made it possi...
Comparative analysis of expression microarray studies is difficult due to the large influence of tec...
BACKGROUND: Biological knowledge is represented in scientific literature that often describes the fu...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes pot...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
The scientific literature represents a rich source for retrieval of knowledge on associations betwee...
The increasing amount of publicly available literature and experimental data in biomedicine makes it...
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