Abstract
MEDLINE is the premier literature database in the biomedical and life sciences fields, containing over 17 million references to journal articles. Searching in this database can be performed through PubMed, a web interface designed to provide a rapid and comprehensive retrieval of articles matching a specific criteria. However, considering the complexity of biological systems and of the genotype to phenotype relations, the results retrieved from PubMed can be only a short view of the relevant information that is available. In this paper we present a new approach for expanding the terminology used in each query to enrich the set of documents that are retrieved. We have developed a paper prioritization methodology that, for a given list of genes, expands the search in several biological domains using a mesh of co-related terms, extracts the most relevant results from the literature, and organize them according to domain weighted factors.
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Arrais, J.P., Rodrigues, J.G.L.M., Oliveira, J.L. (2009). Improving Literature Searches in Gene Expression Studies. In: Corchado, J.M., De Paz, J.F., Rocha, M.P., Fernández Riverola, F. (eds) 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008). Advances in Soft Computing, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85861-4_10
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DOI: https://doi.org/10.1007/978-3-540-85861-4_10
Publisher Name: Springer, Berlin, Heidelberg
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