Soft Computing for Biological Systems

1. Diagnostic prediction based on gene expression profiles and artificial neural networks.- 2. Soft-Computing Approaches to Extract Biologically Significant Gene Network Modules.- 3. A Hybridization of Artificial Bee Colony with Swarming Approach of Bacterial Foraging Optimization for Multiple Sequence Alignment.- 4. Construction Gene Networks Using Gene Expression Profiles.- 5. Bioinformatics tools for shotgun metagenomic data analysis.- 6. Prediction of protein-protein interactions using machine learning techniques.- 7. Protein structure prediction using machine learning approaches.- 8. Drug-transporters as Therapeutic targets: Computational Models, Challenge and Opportunity.- 9. Module-Based Knowledge Discovery for Multiple-Cytosine-Variant Methylation Profile.- 10. Outlook of various soft computing data pre-processing techniques to study the pest population dynamics in Integrated Pest Management.- 11. Genomics for Oral Cancer Biomarker research.- 12. Soft-computing methods and tools for Bacteria DNA Barcoding data analysis.- 13. Fish DNA Barcoding: A comprehensive survey of the Bioinformatics tools and databases.