Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment.  Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciencesBrings readers up-to-speed on current trends and methods in a dynamic and growing fieldProvides academic teachers with a complete resource, covering fundamental concepts as well as applications INDICE: PART I Artificial Intelligence Methods 1. Artificial Intelligence 2. Machine Learning 3. Knowledge and Reasoning 4. Data Mining 5. Text Mining 6. Data Science 7. Neural Networks 8. Intelligent Agents 9. Emergent issues PART II Artificial Intelligence in Bioinformatics 10. Sequence analysis 11. Structure analysis 12. Functional analysis 13. Omics analysis 14. Integrative bioinformatics 15. Metabolic networks analysis 16. Reasoning in bioinformatics 17. Explainable models in bioinformatics 18. Knowledge extraction from scientific texts PART III Emerging Applications of AI-Boosted Bioinformatics in Life Sciences 19. Biomarker discovery 20. Pharmacogenomics 21. Sentiment Analysis (for Telemedicine applications) 22. Topic Extractions (in Psychology) 23. Functional Enrichment Analysis

• ISBN: 978-0-12-822952-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 250
• Fecha Publicación: 01/04/2021
• Nº Volúmenes: 1
• Idioma: Inglés