title: aCGH-MAS: analysis of aCGH by means of multiagent system.
abstract: There are currently different techniques, such as CGH arrays, to study genetic variations in patients. CGH arrays analyze gains and losses in different regions in the chromosome. Regions with gains or losses in pathologies are important for selecting relevant genes or CNVs (copy-number variations) associated with the variations detected within chromosomes. Information corresponding to mutations, genes, proteins, variations, CNVs, and diseases can be found in different databases and it would be of interest to incorporate information of different sources to extract relevant information. This work proposes a multiagent system to manage the information of aCGH arrays, with the aim of providing an intuitive and extensible system to analyze and interpret the results. The agent roles integrate statistical techniques to select relevant variations and visualization techniques for the interpretation of the final results and to extract relevant information from different sources of information by applying a CBR system.
authors: Biomedical Research Institute of Salamanca, BISITE Research Group, University of Salamanca, Edificio I+D+i, 37008 Salamanca, Spain.
authors: Juan F
authors: 0000-0001-9461-7922
authors: JF
authors: De Paz
authors: IBMCC, Cancer Research Center, University of Salamanca-CSIC, 37007 Salamanca, Spain.
authors: Rocío
authors: R
authors: Benito
authors: Department of Artificial Intelligence, Technical University of Madrid, Campus de Montegancedo, s/n Boadilla del Monte, 28660 Madrid, Spain.
authors: Javier
authors: J
authors: Bajo
authors: IBMCC, Cancer Research Center, University of Salamanca-CSIC, 37007 Salamanca, Spain.
authors: Ana Eugenia
authors: AE
authors: Rodríguez
authors: IBMCC, Cancer Research Center, University of Salamanca-CSIC, 37007 Salamanca, Spain.
authors: María
authors: M
authors: Abáigar
mesh_terms: D000818:Animals; D055028:Comparative Genomic Hybridization / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D008962:Models, Theoretical