Abstract
The past decade has seen a tremendous growth in the amount of experimental and computational biomedical data, specifically in the areas of genomics and proteomics. In this context, the immense volume of data resulting from DNA microarray experiment presents a major data analysis challenge. Current methods for genome-wide analysis of expression data typically rely on biologically relevant gene sets instead of individual genes. This has translated into a need for sophisticated tools to mine, integrate and prioritize massive amounts of information. In this work we report the development of a multiagent architecture that gives support to the construction of gene sets coming from multiple heterogeneous data sources. The proposed architecture is the base of a publicly available web portal in which final users are able to extract lists of genes from multiple heterogeneous data sources.
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Glez-Peña, D., Glez-Dopazo, J., Pavón, R., Laza, R., Fdez-Riverola, F. (2009). geneSetFinder: A Multiagent Architecture for Gathering Biological Information. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_6
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DOI: https://doi.org/10.1007/978-3-642-00487-2_6
Publisher Name: Springer, Berlin, Heidelberg
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