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

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

Autor Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Agapito, Chiara Zucco, Marianna Milano
en Limba Engleză Paperback – 18 mai 2022
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 sciences
  • Brings readers up-to-speed on current trends and methods in a dynamic and growing field
  • Provides academic teachers with a complete resource, covering fundamental concepts as well as applications
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Specificații

ISBN-13: 9780128229521
ISBN-10: 0128229527
Pagini: 268
Ilustrații: Approx. 100 illustrations (100 in full color)
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.55 kg
Editura: ELSEVIER SCIENCE

Cuprins

PART 1 ARTIFICIAL INTELLIGENCE: METHODS
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
PART 2 ARTIFICIAL INTELLIGENCE: BIOINFORMATICS
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

Notă biografică

Mario Cannataro is Full Professor of Computer Engineering and Bioinformatics at the University "Magna Graecia? of Catanzaro, Italy. He directs the Data Analytics Research Center and chairs the Bioinformatics Laboratory, leading interdisciplinary research at the interface of computing and life sciences. His research interests include bioinformatics, medical informatics, artificial intelligence, data analytics, sentiment analysis, and parallel and distributed computing. Professor Cannataro is actively involved in the international bioinformatics community through editorial, conference, and professional service activities, including participation in scientific committees, workshop organization, and journal editorial boards. He has contributed extensively to research and innovation in computational biology and health informatics and has authored numerous scholarly publications and books. He also serves on regional and national bodies related to bioinformatics, telemedicine, medical informatics, and research ethics, supporting collaboration and advancement across these fields.