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Gene marker selection from gene expression profiles has been extensively investigated in the Bioinformatics literature. The aim is usually to find a compact set of genes potentially correlated to a particular disease, which can then be candidate targets for new drugs and treatments. Available gene expression data sets are often noisy and sparse, having a low number of patient samples, for which a...
The intelligent analysis of Databases may be affected by the presence of unimportant features, which motivates the application of Feature Selection. By treating this task as a search and optimization process, it is possible to use the synergy between Genetic Algorithms and Multi-objective Optimization to carry out the search for (quasi) optimal subsets of features considering possible conflicting...
The characterization and quantitative description of histological images is not a simple problem. To reach a final diagnosis, usually the specialist relies on the analysis of characteristics easily observed, such as cells size, shape, staining and texture, but also depends on the hidden information of tissue localization, physiological and pathological mechanisms, clinical aspects, or other etiological...
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