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|Title=Classify the Classifiers: Investigating the Optimum Classification Technique Per Case in Bioinformatics | |Title=Classify the Classifiers: Investigating the Optimum Classification Technique Per Case in Bioinformatics | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=http://www.inderscience.com/browse/callpaper.php?callID=859 |
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+ | |Submission Deadline=Mar 31, 2008 | ||
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<pre> | <pre> |
Latest revision as of 15:20, 19 October 2022
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CClassify the Classifiers: Investigating the Optimum Classification Technique Per Case in Bioinformatics A special issue of International Journal of Computational Intelligence in Bioinformatics and Systems Biology Suitable topics include, but are not limited to: ** Investigation and ranking of classifiers based on, but not limited to, computational intelligence methods from fields such as: * Machine learning * Expert systems * Artificial neural networks * Fuzzy logic and systems * Feature selection * Dimension reduction * Pattern classification and recognition * Possibility theory * Bayes network and hidden markov models * Genetic and [hybrid] evolutionary algorithms * Support vector machines * Relative vector machine * Data mining and knowledge discoveries * Quantum-inspired evolutionary algorithms * Fusion of systems * Swarm intelligence and hybrid computational intelligence * Affinity propagation * Game theory ** Application and performance evaluation of the classifiers implemented in various cases of bioinformatics research, such as: * Gene expression * Microarrays, motif and pattern discovery * DNA assembly, clustering, and mapping * Gene identification and annotation * Biomedical image processing * Molecular evolution and phylogeny * Taxonomy, sequence analysis and alignment * Ecological modelling * Mathematical immunology modelling and discovery * Regulatory network and pathway analysis * Functional and structural genomics * Cellular metabolism and inter-cellular signalling * Genome- and proteome-scale modelling * Analysis of protein interaction with other cellular constituents * Protein structure and interaction prediction * Comparative and quantitative proteomics * Post-translational modification analysis * Structural proteomics
This CfP was obtained from WikiCFP