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IJCIBSB special issue 2008 : Classify the Classifiers: Investigating the Optimum Classification Technique Per Case in Bioinformatics


When N/A
Where N/A
Submission Deadline Mar 31, 2008
Categories    classification   bioinformatics   biology   computational

Call For Papers

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

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