| Description |
1 online resource (xix, 247 pages) : illustrations |
| Contents |
1. Knowledge representation and reasoning -- 2. Machine learning -- 3. Artificial intelligence -- 4. Data science -- 5. Deep learning -- 6. Explainability of AI methods -- 7. Intelligent agents -- 8. Sequence analysis -- 9. Structure analysis -- 10. Omics sciences -- 11. Ontologies in bioinformatics -- 12. Integrative bioinformatics -- 13. Biological networks analysis -- 14. Biological pathway analysis -- 15. Knowledge extraction from biomedical texts -- 16. Artificial intelligence in bioinformatics: issues and challenges -- Appendix A: Python code examples -- Appendix B: Java code examples |
| Summary |
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.-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Bioinformatics.
|
|
Artificial intelligence -- Biological applications.
|
|
Artificial intelligence -- Biological applications
|
|
Bioinformatics
|
| Form |
Electronic book
|
| Author |
Cannataro, Mario, 1964- author.
|
|
Guzzi, Pietro Hiram, 1980- author.
|
|
Agapito, Giuseppe, 1978- author.
|
|
Zucco, Chiara, author
|
|
Milano, Marianna, author
|
| ISBN |
9780128229293 |
|
0128229292 |
|
