Soft Computing for Biological Systems
This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with avail...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.